Discrete Dynamics in Nature and Society http://www.hindawi.com The latest articles from Hindawi Publishing Corporation © 2016 , Hindawi Publishing Corporation . All rights reserved. Identifying the Determinants of CO2 Emission Change in China’s Power Sector Wed, 30 Nov 2016 13:26:55 +0000 http://www.hindawi.com/journals/ddns/2016/2626418/ Power sector is significantly important for China to achieve the CO2 emission reduction targets. In this study, we analyze the features of CO2 emissions and environment effect in China’s power sector, investigate the driving factors of CO2 emission change based on the logarithmic mean Divisia index (LMDI) method, and evaluate the mitigation potential of CO2 emissions in China’s power sector. Results show that CO2 emissions in China’s power sector increased rapidly from 492.00 Mt in 1990 to 3049.88 Mt in 2014 while CO2 emission intensity experienced an unsteady downward trend during the study period. Industrial scale effect is the key contributor to CO2 emission growth in China’s power sector, and its contribution degree reaches 123.97%. Energy intensity effect contributes most to the decrease in CO2 emissions, with a contribution degree of −20.01%. Capital productivity effect is another important factor leading to CO2 emissions increase. The aggregate CO2 emission reduction would reach 17973.86 million tons (Mt) during 2015–2030 in the ideal emission reduction scenario. Finally, policy recommendations are made for future energy-saving and CO2 emission reduction in China’s power sector. Caiqing Zhang, Mi Zhang, and Nan Zhang Copyright © 2016 Caiqing Zhang et al. All rights reserved. Fractal Dimension Analysis of the Julia Sets of Controlled Brusselator Model Wed, 30 Nov 2016 07:43:18 +0000 http://www.hindawi.com/journals/ddns/2016/8234108/ Fractal theory is a branch of nonlinear scientific research, and its research object is the irregular geometric form in nature. On account of the complexity of the fractal set, the traditional Euclidean dimension is no longer applicable and the measurement method of fractal dimension is required. In the numerous fractal dimension definitions, box-counting dimension is taken to characterize the complexity of Julia set since the calculation of box-counting dimension is relatively achievable. In this paper, the Julia set of Brusselator model which is a class of reaction diffusion equations from the viewpoint of fractal dynamics is discussed, and the control of the Julia set is researched by feedback control method, optimal control method, and gradient control method, respectively. Meanwhile, we calculate the box-counting dimension of the Julia set of controlled Brusselator model in each control method, which is used to describe the complexity of the controlled Julia set and the system. Ultimately we demonstrate the effectiveness of each control method. Yuqian Deng, Xiuxiong Liu, and Yongping Zhang Copyright © 2016 Yuqian Deng et al. All rights reserved. Research on Geometric Mappings in Complex Systems Analysis Tue, 29 Nov 2016 13:07:10 +0000 http://www.hindawi.com/journals/ddns/2016/4732704/ We mainly discuss the properties of a new subclass of starlike functions, namely, almost starlike functions of complex order , in one and several complex variables. We get the growth and distortion results for almost starlike functions of complex order . By the properties of functions with positive real parts and considering the zero of order , we obtain the coefficient estimates for almost starlike functions of complex order on . We also discuss the invariance of almost starlike mappings of complex order on Reinhardt domains and on the unit ball in complex Banach spaces. The conclusions contain and generalize some known results. Yanyan Cui, Chaojun Wang, and Sifeng Zhu Copyright © 2016 Yanyan Cui et al. All rights reserved. Does Diversification Affect Banking Systemic Risk? Tue, 29 Nov 2016 08:21:42 +0000 http://www.hindawi.com/journals/ddns/2016/2967830/ This paper contributes to the understanding of the linear and nonlinear causal linkage from diversification to banking systemic risk. Employing data from China, within both linear and nonlinear causality frameworks, we find that diversification does not embody significant predictive power with respect to banking systemic risk. Shouwei Li Copyright © 2016 Shouwei Li. All rights reserved. Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective Mon, 28 Nov 2016 11:53:25 +0000 http://www.hindawi.com/journals/ddns/2016/9354519/ To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers’ reading process into “notice stage” and “comprehend stage” and considers the impact of “explicit information” and “implicit information” of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful. The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews. Xu Chen, Jie Sheng, Xiaojun Wang, and Jiangshan Deng Copyright © 2016 Xu Chen et al. All rights reserved. An Alternative Approach for High Speed Railway Carrying Capacity Calculation Based on Multiagent Simulation Sun, 27 Nov 2016 09:53:48 +0000 http://www.hindawi.com/journals/ddns/2016/4278073/ It is a multiobjective mixed integer programming problem that calculates the carrying capacity of high speed railway based on mathematical programming method. The model is complex and difficult to solve, and it is difficult to comprehensively consider the various influencing factors on the train operation. The multiagent theory is employed to calculate high speed railway carrying capacity. In accordance with real operations of high speed railway, a three-layer agent model is developed to simulate the operating process of high speed railway. In the proposed model, railway network agent, line agent, station agent, and train agent are designed, respectively. To validate the proposed model, a case study is performed for Beijing–Shanghai high speed railway by using NetLogo software. The results are consistent with the actual data, which implies that the proposed multiagent method is feasible to calculate the carrying capacity of high speed railway. Mo Gao, Leishan Zhou, and Yongjun Chen Copyright © 2016 Mo Gao et al. All rights reserved. Finite-Time Stabilization for Discrete-Time Delayed Markovian Jump Systems with Partially Delayed Actuator Saturation Sun, 27 Nov 2016 09:02:18 +0000 http://www.hindawi.com/journals/ddns/2016/1304379/ The finite-time control problem of discrete-time delayed Markovian jump systems with partially delayed actuator saturation is considered by a mode-dependent parameter approach. Different from the traditionally saturated actuators, a kind of saturated actuator being partially delay-dependent is firstly proposed, where both nondelay and delay states are included and occur asynchronously. Moreover, the probability distributions of such two terms are described by the Bernoulli variable and are taken into account in the controller design. Sufficient conditions for the existence of the desired controller are presented with LMIs. Finally, a numerical example is provided to show the effectiveness and superiority of the obtained results. Guoliang Wang and Bo Feng Copyright © 2016 Guoliang Wang and Bo Feng. All rights reserved. Optimal Ordering and Pricing Policies for Seasonal Products: Impacts of Demand Uncertainty and Capital Constraint Wed, 23 Nov 2016 14:04:57 +0000 http://www.hindawi.com/journals/ddns/2016/1801658/ With a stochastic price-dependent market demand, this paper investigates how demand uncertainty and capital constraint affect retailer’s integrated ordering and pricing policies towards seasonal products. The retailer with capital constraint is normalized to be with zero capital endowment while it can be financed by an external bank. The problems are studied under a low and high demand uncertainty scenario, respectively. Results show that when demand uncertainty level is relatively low, the retailer faced with demand uncertainty always sets a lower price than the riskless one, while its order quantity may be smaller or larger than the riskless retailer’s which depends on the level of market size. When adding a capital constraint, the retailer will strictly prefer a higher price but smaller quantity policy. However, in a high demand uncertainty scenario, the impacts are more intricate. The retailer faced with demand uncertainty will always order a larger quantity than the riskless one if demand uncertainty level is high enough (above a critical value), while the capital-constrained retailer is likely to set a lower price than the well-funded one when demand uncertainty level falls within a specific interval. Therefore, it can be further concluded that the impact of capital constraint on the retailer’s pricing decision can be influenced by different demand uncertainty levels. Jinzhao Shi, Richard Y. K. Fung, and Ju’e Guo Copyright © 2016 Jinzhao Shi et al. All rights reserved. Mixed Synchronization of Chaotic Financial Systems by Using Linear Feedback Control Wed, 23 Nov 2016 14:02:43 +0000 http://www.hindawi.com/journals/ddns/2016/3269248/ This paper deals with the mixed synchronization (coexistence of synchronization and antisynchronization) of two chaotic financial systems. Two mixed synchronization criteria for two chaotic financial systems are derived with a single controller and without external controls, respectively. In addition, the control method and synchronization criteria are applied to study the mixed synchronization of a class of modified chaotic financial systems. Three examples are used to illustrate the effectiveness of our derived results. Ke Ding and Xing Xu Copyright © 2016 Ke Ding and Xing Xu. All rights reserved. Permanence for the Discrete Competition Model with Infinite Deviating Arguments Wed, 23 Nov 2016 13:36:01 +0000 http://www.hindawi.com/journals/ddns/2016/1686973/ Sufficient conditions are obtained for the permanence of the following discrete model of competition: ; , where , , and , , are nonnegative sequences bounded above and below by positive constants, and , . Baoguo Chen Copyright © 2016 Baoguo Chen. All rights reserved. Corrigendum to “Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy” Wed, 23 Nov 2016 13:28:47 +0000 http://www.hindawi.com/journals/ddns/2016/9814718/ Cao Yuan, Ma Lianchuan, and Weigang Ma Copyright © 2016 Cao Yuan et al. All rights reserved. Research on Open-Closed-Loop Iterative Learning Control with Variable Forgetting Factor of Mobile Robots Mon, 21 Nov 2016 13:28:45 +0000 http://www.hindawi.com/journals/ddns/2016/6452179/ We propose an iterative learning control algorithm (ILC) that is developed using a variable forgetting factor to control a mobile robot. The proposed algorithm can be categorized as an open-closed-loop iterative learning control, which produces control instructions by using both previous and current data. However, introducing a variable forgetting factor can weaken the former control output and its variance in the control law while strengthening the robustness of the iterative learning control. If it is applied to the mobile robot, this will reduce position errors in robot trajectory tracking control effectively. In this work, we show that the proposed algorithm guarantees tracking error bound convergence to a small neighborhood of the origin under the condition of state disturbances, output measurement noises, and fluctuation of system dynamics. By using simulation, we demonstrate that the controller is effective in realizing the prefect tracking. Hongbin Wang, Jian Dong, and Yueling Wang Copyright © 2016 Hongbin Wang et al. All rights reserved. Optimal Harvest Control in a Singular Prey-Predator Fishery Model with Maturation Delay and Gestation Delay Mon, 21 Nov 2016 06:12:32 +0000 http://www.hindawi.com/journals/ddns/2016/4398527/ This paper presents a singular prey-predator fishery model, where maturation delay for prey and gestation delay for predator are considered. Fishing efforts are introduced to harvest prey and predator population, which are developed as control instruments to investigate optimal utilization of fishery resource. By analyzing associated characteristic equation, local stability analysis is studied due to combined variations of double time delays. Furthermore, Pontryagin’s maximum principle is utilized to characterize optimal harvest control, and the optimality system is numerically solved based on an iterative method. Chao Liu, Longfei Yu, and Qingling Zhang Copyright © 2016 Chao Liu et al. All rights reserved. Dynamical Behaviors of Stochastic Delayed One-Predator and Two-Competing-Prey Systems with Holling Type IV and Crowley-Martin Type Functional Responses Thu, 17 Nov 2016 14:45:45 +0000 http://www.hindawi.com/journals/ddns/2016/7676101/ This paper is devoted to stochastic delayed one-predator and two-competing-prey systems with two kinds of different functional responses. By establishing appropriate Lyapunov functions, the globally positive solution and stochastic boundedness are investigated. In some case, the stochastic permanence and extinction are also obtained. Moreover, sufficient conditions of the global asymptotic stability of the system are established. Finally, some numerical examples are provided to explain our conclusions. Changjian Wang, Zuoliang Xiong, Rensheng He, and Hongwei Yin Copyright © 2016 Changjian Wang et al. All rights reserved. RBF Neural Network Control for Linear Motor-Direct Drive Actuator Based on an Extended State Observer Tue, 15 Nov 2016 12:10:06 +0000 http://www.hindawi.com/journals/ddns/2016/8390529/ Hydraulic power and other kinds of disturbance in a linear motor-direct drive actuator (LM-DDA) have a great impact on the performance of the system. A mathematical model of the LM-DDA system is established and a double-loop control system is presented. An extended state observer (ESO) with switched gain was utilized to estimate the influence of the hydraulic power and other load disturbances. Meanwhile, Radial Basis Function (RBF) neural network was utilized to optimize the parameters in this intelligent controller. The results of the dynamic tests demonstrate the performance with rapid response and improved accuracy could be attained by the proposed control scheme. Zhi Liu and Tefang Chen Copyright © 2016 Zhi Liu and Tefang Chen. All rights reserved. Modelling and Numerical Simulations of Heat Distribution for LED Heat Sink Thu, 10 Nov 2016 11:19:09 +0000 http://www.hindawi.com/journals/ddns/2016/3468246/ Light-emitting diode (LED) has higher efficiency and longer lifetime when compared with the conventional lighting. However, the efficiency and lifetime will be degraded greatly when it is operated at a high temperature. Now, both previous simulation and experimental results have already indicated that the heat transfer in vertical direction of the LED lamp by conduction is the most critical component. In this paper, a simplified numerical simulation model is built to estimate the heat distribution of the LED heat sink in the spherical coordinate system, which would be useful for its shape optimization design. With this model, some mathematical treatments are provided to a heat conduction equation, in order to rapidly compute the static heat distribution and the temperature of different designs of LED heat sinks. The built rapid heat sink evaluation method, implicit finite difference method (IFDM), is unconditionally stable. Several heat distribution simulations could demonstrate that our built mathematical model conforms well to the reality and our method is full of feasibility and effectiveness. Jianxin Zhu and Lixia Sun Copyright © 2016 Jianxin Zhu and Lixia Sun. All rights reserved. Dynamical Analysis of a Computer Virus Model with Delays Wed, 02 Nov 2016 08:49:07 +0000 http://www.hindawi.com/journals/ddns/2016/5649584/ An SIQR computer virus model with two delays is investigated in the present paper. The linear stability conditions are obtained by using characteristic root method and the developed asymptotic analysis shows the onset of a Hopf bifurcation occurs when the delay parameter reaches a critical value. Moreover the direction of the Hopf bifurcation and stability of the bifurcating period solutions are investigated by using the normal form theory and the center manifold theorem. Finally, numerical investigations are carried out to show the feasibility of the theoretical results. Juan Liu, Carlo Bianca, and Luca Guerrini Copyright © 2016 Juan Liu et al. All rights reserved. SARIMA-Orthogonal Polynomial Curve Fitting Model for Medium-Term Load Forecasting Mon, 31 Oct 2016 12:25:34 +0000 http://www.hindawi.com/journals/ddns/2016/9649682/ Seasonal component has been a key factor in time series modeling for medium-term electric load forecasting. In this paper, a seasonal-ARIMA model is developed, but the parameters of the SAR and the SMA turn out to be quite nonsignificant in most cases during the model order selection. To address this issue, the hybrid time series model based on the HP filter is utilized to extract the spectrum sequences with different frequencies and analyze interactions among various factors. Finally, an integrative forecast is made for the electricity consumption from January to November in 2014. The empirical results demonstrate that the method with HP filter could reduce the relative error caused by the interaction between the trend component and the seasonal component. Herui Cui, Pengbang Wei, Yupei Mu, and Xu Peng Copyright © 2016 Herui Cui et al. All rights reserved. Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network Thu, 27 Oct 2016 14:15:38 +0000 http://www.hindawi.com/journals/ddns/2016/9527584/ Direct forecasting method for Urban Rail Transit (URT) ridership at the station level is not able to reflect nonlinear relationship between ridership and its predictors. Also, population is inappropriately expressed in this method since it is not uniformly distributed by area. In this paper, a new variable, population per distance band, is considered and a back propagation neural network (BPNN) model which can reflect nonlinear relationship between ridership and its predictors is proposed to forecast ridership. Key predictors are obtained through partial correlation analysis. The performance of the proposed model is compared with three other benchmark models, which are linear model with population per distance band, BPNN model with total population, and linear model with total population, using four measures of effectiveness (MOEs), maximum relative error (MRE), smallest relative error (SRE), average relative error (ARE), and mean square root of relative error (MSRRE). Also, another model for contribution rate of population per distance band to ridership is formulated based on the BPNN model with nonpopulation variables fixed. Case studies with Japanese data show that BPNN model with population per distance band outperforms other three models and the contribution rate of population within special distance band to ridership calculated through the contribution rate model is 70%~92.9% close to actual statistical value. The result confirms the effectiveness of models proposed in this paper. Junfang Li, Minfeng Yao, and Qian Fu Copyright © 2016 Junfang Li et al. All rights reserved. Optimal Decisions for Prepositioning Emergency Supplies Problem with Type-2 Fuzzy Variables Thu, 27 Oct 2016 14:14:47 +0000 http://www.hindawi.com/journals/ddns/2016/9275192/ Prepositioning emergency supplies serves an important function in disaster relief operations. This paper presents a new class of fuzzy prepositioning emergency supplies model for three-echelon humanitarian logistics network, in which the postdisaster acquisition and transportation costs, the suppliers’ supply, and affected areas’ demand are uncertain and characterized by type-2 fuzzy variables with known possibility distributions. Since the inherent complexity of fuzzy prepositioning problem may be troublesome, the existing methods are no longer effective in dealing with the proposed model directly. We first derive the optimistic and pessimistic values formula for credibility value-at-risk (CVaR) reduced fuzzy variable of type-2 trapezoidal fuzzy variable. On the basis of formula obtained, we can convert original fuzzy prepositioning model into its equivalent parametric mixed integer programming form, which can be solved by conventional algorithms or general-purpose software. Finally, some numerical experiments have been performed to illustrate the effectiveness of the proposed model and solution strategy. Xuejie Bai Copyright © 2016 Xuejie Bai. All rights reserved. Model Study of Information Dissemination in Microblog Community Networks Wed, 26 Oct 2016 09:42:12 +0000 http://www.hindawi.com/journals/ddns/2016/8393016/ We build an information dissemination model based on SIR model to study information dissemination in microblog networks. We consider different influence factors of information dissemination such as activity, credibility, and weight of network and construct calculation methods of various parameters, for instance, direct immune rate, indirect immune rate, and information dissemination rate. Meanwhile, by collecting data from API in Weibo and using the result of microblog information dissemination life cycle analysis, we utilize the model to conduct simulation and get the change trend of proportion in Stages S, I, and R. After comparing with the actual situation, this model is proved to be effective in predicting the trend of information dissemination. Bo Wang, Jianhua Zhang, Haifeng Guo, Yuwang Zhang, and Xiaotuo Qiao Copyright © 2016 Bo Wang et al. All rights reserved. Coal Price Forecasting and Structural Analysis in China Tue, 25 Oct 2016 14:54:52 +0000 http://www.hindawi.com/journals/ddns/2016/1256168/ Coal plays an important role in China’s energy structure and its price has been continuously decreasing since the second half of 2012. Constant low price of coal affected the profits of coal enterprises and the coal use of its downstream firms; the precision of coal price provides a reference for these enterprises making their management strategy. Based on the historical data of coal price and related factors such as port stocks, sales volume, futures prices, Producer Price Index (PPI), and crude oil price rate from November 2013 to June 2016, this study aims to forecast coal price using vector autoregression (VAR) model and portray the dynamic correlations between coal price and variables by the impulse response function and variance decomposition. Comparing predicted and actual values, the root mean square error (RMSE) was small which indicated good precision of this model. Thus this short period prediction can help these enterprises make the right business decisions. Xiaopeng Guo, Jiaxing Shi, and Dongfang Ren Copyright © 2016 Xiaopeng Guo et al. All rights reserved. Adaptive Control of Dynamically Complex Networks with Saturation Couplings Tue, 25 Oct 2016 14:20:49 +0000 http://www.hindawi.com/journals/ddns/2016/4614856/ This paper considers the control problem of dynamically complex networks with saturation couplings. Two novel control schemes in terms of adaptive control are presented to deal with such saturation couplings. Based on the robust idea, the underlying complex network is firstly transformed into a strongly connected network having time-varying uncertainty. However, the upper bound of uncertainty is unknown. Because of such an unavailable bound, a kind of adaptive controller added to each node is proposed such that the closed-loop auxiliary network is uniformly bounded. In particular, the original system states are asymptotically stable. Moreover, in order to avoid adding the desired controller to every node, another different kind of adaptive controller based on the pinning control idea is proposed. Compared with the former method, it is only applied to a part of nodes and has a good operability. Finally, a numerical example is provided to show the effectiveness of our results. Guoliang Wang and Tingting Yan Copyright © 2016 Guoliang Wang and Tingting Yan. All rights reserved. A Novel Optimal Control Method for Impulsive-Correction Projectile Based on Particle Swarm Optimization Tue, 25 Oct 2016 11:54:19 +0000 http://www.hindawi.com/journals/ddns/2016/5098784/ This paper presents a new parametric optimization approach based on a modified particle swarm optimization (PSO) to design a class of impulsive-correction projectiles with discrete, flexible-time interval, and finite-energy control. In terms of optimal control theory, the task is described as the formulation of minimum working number of impulses and minimum control error, which involves reference model linearization, boundary conditions, and discontinuous objective function. These result in difficulties in finding the global optimum solution by directly utilizing any other optimization approaches, for example, Hp-adaptive pseudospectral method. Consequently, PSO mechanism is employed for optimal setting of impulsive control by considering the time intervals between two neighboring lateral impulses as design variables, which makes the briefness of the optimization process. A modification on basic PSO algorithm is developed to improve the convergence speed of this optimization through linearly decreasing the inertial weight. In addition, a suboptimal control and guidance law based on PSO technique are put forward for the real-time consideration of the online design in practice. Finally, a simulation case coupled with a nonlinear flight dynamic model is applied to validate the modified PSO control algorithm. The results of comparative study illustrate that the proposed optimal control algorithm has a good performance in obtaining the optimal control efficiently and accurately and provides a reference approach to handling such impulsive-correction problem. Ruisheng Sun, Qiao Hong, and Gang Zhu Copyright © 2016 Ruisheng Sun et al. All rights reserved. A Note on Discrete Multitime Recurrences of Samuelson-Hicks Type Tue, 25 Oct 2016 08:48:29 +0000 http://www.hindawi.com/journals/ddns/2016/6891302/ By this work, we aim at fostering further research on the applications of multitime recurrences. In particular, we shall apply this method by generalizing the Samuelson-Hicks model so as to make the new concept of time that this method proposes clear. In particular, the multitime approach decomposes a point of time into a vector, taking into account how different coordinates of time referring to the same date can affect the dynamics of a model. Bruno Antonio Pansera and Francesco Strati Copyright © 2016 Bruno Antonio Pansera and Francesco Strati. All rights reserved. Competition, Innovation, Risk-Taking, and Profitability in the Chinese Banking Sector: An Empirical Analysis Based on Structural Equation Modeling Mon, 24 Oct 2016 14:08:09 +0000 http://www.hindawi.com/journals/ddns/2016/3695379/ We introduce a new perspective to systematically investigate the cause-and-effect relationships among competition, innovation, risk-taking, and profitability in the Chinese banking industry. Our hypotheses are tested by the structural equation modeling (SEM), and the empirical results show that (i) risk-taking is positively related to profitability; (ii) innovation positively affects both risk-taking and profitability, and the effect of innovation on profitability works both directly and indirectly; (iii) competition negatively affects risk-taking but positively affects both innovation and profitability, and the effects of competition on risk-taking and profitability work both directly and indirectly; (iv) there is a cascading relationship among market competition and bank innovation, risk-taking, and profitability. Ti Hu and Chi Xie Copyright © 2016 Ti Hu and Chi Xie. All rights reserved. On the Two-Moment Approximation of the Discrete-Time GI/G/1 Queue with a Single Vacation Mon, 24 Oct 2016 12:25:55 +0000 http://www.hindawi.com/journals/ddns/2016/5345374/ We consider a discrete-time GI/G/1 queue in which the server takes exactly one vacation each time the system becomes empty. The interarrival times of arriving customers, the service times, and the vacation times are all generic discrete random variables. Under our study, we derive an exact transform-free expression for the stationary system size distribution through the modified supplementary variable technique. Utilizing obtained results, we introduce a simple two-moment approximation for the system size distribution. From this, approximations for the mean system size along with the system size distribution could be obtained. Finally, some numerical examples are given to validate the proposed approximation method. Doo Ho Lee Copyright © 2016 Doo Ho Lee. All rights reserved. Multiproduct Multiperiod Newsvendor Problem with Dynamic Market Efforts Thu, 20 Oct 2016 14:31:20 +0000 http://www.hindawi.com/journals/ddns/2016/7674027/ We study a multiperiod multiproduct production planning problem where the production capacity and the marketing effort on demand are both considered. The accumulative impact of marketing effort on demand is captured by the Nerlove and Arrow (N-A) advertising model. The problem is formulated as a discrete-time, finite-horizon dynamic optimization problem, which can be viewed as an extension to the classic newsvendor problem by integrating with the N-A model. A Lagrangian relaxation based solution approach is developed to solve the problem, in which the subgradient algorithm is used to find an upper bound of the solution and a feasibility heuristic algorithm is proposed to search for a feasible lower bound. Twelve kinds of instances with different problem size involving up to 50 products and 15 planning periods are randomly generated and used to test the Lagrangian heuristic algorithm. Computational results show that the proposed approach can obtain near optimal solutions for all the instances in very short CPU time, which is less than 90 seconds even for the largest instance. Jianmai Shi and Yiping Bao Copyright © 2016 Jianmai Shi and Yiping Bao. All rights reserved. Topological Entropy of One Type of Nonoriented Lorenz-Type Maps Thu, 20 Oct 2016 09:22:05 +0000 http://www.hindawi.com/journals/ddns/2016/6987471/ Constructing a Poincaré map is a method that is often used to study high-dimensional dynamical systems. In this paper, a geometric model of nonoriented Lorenz-type attractor is studied using this method, and its dynamical property is described. The topological entropy of one-dimensional nonoriented Lorenz-type maps is also computed in terms of their kneading sequences. Guo Feng Copyright © 2016 Guo Feng. All rights reserved. The Optimization Model for Interregional Power System Planning considering Carbon Emissions Trading and Renewable Energy Quota Mechanism Tue, 18 Oct 2016 14:16:09 +0000 http://www.hindawi.com/journals/ddns/2016/8784624/ In China, the rapid construction of ultra-high-voltage (UHV) transmission lines promotes interregional resource optimizing configuration and interregional power system planning. This paper analyzes external environment of interregional power system planning from geographical, technical, and policy environments. Then, the paper takes the minimum system investment cost as the optimization objective and constructs the optimization model of interregional power system planning considering carbon emissions trading (CET) and renewable energy quota mechanism (REQ). Finally, this paper sets base scenario, carbon emissions trading scenario, renewable energy quota mechanism scenario, and comprehensive scenario for case simulation. The results show that interregional power system planning could connect power grids in different regions, enlarge wind power consumption space, and relieve the inconformity problem between power resource and load demand. CET and REQ can increase the installed proportion of clean energy and reduce carbon dioxide emissions, but the cost of transmission lines construction and system reserve will increase correspondingly. The optimization effect of REQ on power system planning is better than CET. When they are both introduced, the power structure will reach the best, carbon dioxide emissions will achieve the minimum, and comprehensive benefits will become more balanced. Liwei Ju, Zhongfu Tan, Huanhuan Li, Qingkun Tan, Xiangyu Zhang, and Wei Zhang Copyright © 2016 Liwei Ju et al. All rights reserved.