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Citations to this Journal [92 citations: 91 articles]

Articles published in Journal of Optimization have been cited 92 times. The following is a list of the 91 articles that have cited the articles published in Journal of Optimization.

  • Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros, Erik Cuevas, Daniel Zaldívar, and Marco Pérez-Cisneros, “Multimodal States of Matter Search,” Advances in Metaheuristics Algorithms: Methods and Applications, vol. 775, pp. 119–165, 2018. View at Publisher · View at Google Scholar
  • Sergio Nesmachnow, “Efficient Optimization Using Metaheuristics,” Encyclopedia of Information Science and Technology, Fourth Edition, pp. 7693–7703, 2018. View at Publisher · View at Google Scholar
  • Mehdi Jemai, Siwar Ben Haj Hassine, Bouraoui Ouni, and Abdellatif Mtibaa, “Optimization of Dynamic Power for System on Programmable Chip SOPC,” Handbook of Research on Power and Energy System Optimization, pp. 571–600, 2018. View at Publisher · View at Google Scholar
  • Dong Gao, Yongxin Liu, Junmin Meng, Yongjun Jia, and Chenqing Fan, “Estimating significant wave height from SAR imagery based on an SVM regression model,” Acta Oceanologica Sinica, vol. 37, no. 3, pp. 103–110, 2018. View at Publisher · View at Google Scholar
  • Abd El-Moneim A. Teamah, and Mohamed Abd Allah El-Hadidy, “On probabilistic modeling and feasibility of collision between a randomly moving meteor and satellite,” Afrika Matematika, 2018. View at Publisher · View at Google Scholar
  • K.K.H. Ng, C.K.M. Lee, Felix T.S. Chan, and Yaqiong Lv, “Review on Meta-heuristics Approaches for Airside Operation Research,” Applied Soft Computing, 2018. View at Publisher · View at Google Scholar
  • Heba-Allah ElAzab, R. Swief, Noha El-Amary, and H. Temraz, “Unit Commitment Towards Decarbonized Network Facing Fixed and Stochastic Resources Applying Water Cycle Optimization,” Energies, vol. 11, no. 5, pp. 1140, 2018. View at Publisher · View at Google Scholar
  • Neng Hou, Fazhi He, Yi Zhou, Yilin Chen, and Xiaohu Yan, “A Parallel Genetic Algorithm With Dispersion Correction for HW/SW Partitioning on Multi-Core CPU and Many-Core GPU,” IEEE Access, vol. 6, pp. 883–898, 2018. View at Publisher · View at Google Scholar
  • Tasiransurini Ab Rahman, Zuwairie Ibrahim, Nor Azlina Ab. Aziz, Shunyi Zhao, and Nor Hidayati Abdul Aziz, “Single-Agent Finite Impulse Response Optimizer for Numerical Optimization Problems,” IEEE Access, vol. 6, pp. 9358–9374, 2018. View at Publisher · View at Google Scholar
  • Vimal Samsingh Ramalingam, Malathi Kanagasabai, and Esther Florence Sundarsingh, “Transit Time Dependent Condition Monitoring of PCBs During Testing for Diagnostics in Electronics Industry,” IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 553–560, 2018. View at Publisher · View at Google Scholar
  • Shibendu Mahata, Suman Kumar Saha, Rajib Kar, and Durbadal Mandal, “Optimal design of wideband fractional order digital integrator using symbiotic organisms search algorithm,” IET Circuits, Devices & Systems, 2018. View at Publisher · View at Google Scholar
  • Lilia Kechiche, Lamjed Touil, and Bouraoui Ouni, “Toward the Implementation of an ASIC-Like System on FPGA for Real-Time Video Processing with Power Reduction,” International Journal of Reconfigurable Computing, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Nasrin M. Makbol, Bee Ee Khoo, and Taha H. Rassem, “Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar
  • Assem M. Abdelhakim, M. H. Saad, M. Sayed, and H. I. Saleh, “Optimized SVD-based robust watermarking in the fractional Fourier domain,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar
  • Hathiram Nenavath, and Ravi Kumar Jatoth, “Hybrid SCA–TLBO: a novel optimization algorithm for global optimization and visual tracking,” Neural Computing and Applications, 2018. View at Publisher · View at Google Scholar
  • R. Venkata Rao, and Ankit Saroj, “An elitism-based self-adaptive multi-population Jaya algorithm and its applications,” Soft Computing, 2018. View at Publisher · View at Google Scholar
  • George Lindfield, and John Penny, “Recent Developments and Comparative Studies,” Introduction to Nature-Inspired Optimization, pp. 185–194, 2017. View at Publisher · View at Google Scholar
  • Nazmul Siddique, and Hojjat Adeli, “Miscellaneous Algorithms,” Nature-Inspired Computing, pp. 447–552, 2017. View at Publisher · View at Google Scholar
  • Nazmul Siddique, and Hojjat Adeli, “Dialectics of Nature: Inspiration for Computing,” Nature-Inspired Computing, pp. 1–50, 2017. View at Publisher · View at Google Scholar
  • Yaliang Wang, Qijing Qian, Guoda Chen, Shousong Jin, and Yong Chen, “Multi-objective optimization design of cycloid pin gear planetary reducer,” Advances in Mechanical Engineering, vol. 9, no. 9, pp. 168781401772005, 2017. View at Publisher · View at Google Scholar
  • Zhong Wan, Hao Wu, and Lin Dai, “A Polymorphic Uncertain Equilibrium Model and Its Deterministic Equivalent Formulation for Decentralized Supply Chain Management,” Applied Mathematical Modelling, 2017. View at Publisher · View at Google Scholar
  • Dhabitah Lazim, Azlan Mohd Zain, Mahadi Bahari, and Abdullah Hisham Omar, “Review of modified and hybrid flower pollination algorithms for solving optimization problems,” Artificial Intelligence Review, 2017. View at Publisher · View at Google Scholar
  • Vanraj, S.S. Dhami, and B.S. Pabla, “Optimization of sound sensor placement for condition monitoring of fixed-axis gearbox,” Cogent Engineering, vol. 4, no. 1, 2017. View at Publisher · View at Google Scholar
  • Liang Xia, Weiguo Liu, Xiaojiang Lv, and Xianguang Gu, “A system methodology for optimization design of the structural crashworthiness of a vehicle subjected to a high-speed frontal crash,” Engineering Optimization, pp. 1–17, 2017. View at Publisher · View at Google Scholar
  • Manolis N. Kritikos, “A full ranking methodology in data envelopment analysis based on a set of dummy decision making units,” Expert Systems with Applications, 2017. View at Publisher · View at Google Scholar
  • Jie Du, and Roy Rada, “A Semantic-Based, Distance-Proportional Mutation for Stock Classification,” Expert Systems with Applications, 2017. View at Publisher · View at Google Scholar
  • K.S. Tumwesigye, A.R. Sousa, J.C. Oliveira, and M.J. Sousa-Gallagher, “Evaluation of novel bitter cassava film for equilibrium modified atmosphere packaging of cherry tomatoes,” Food Packaging and Shelf Life, vol. 13, pp. 1–14, 2017. View at Publisher · View at Google Scholar
  • Meeta Kumar, Anand J. Kulkarni, and Suresh Chandra Satapathy, “Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology,” Future Generation Computer Systems, 2017. View at Publisher · View at Google Scholar
  • Rodolfo E. Haber, Gerardo Beruvides, Ramon Quiza, and Alejandro Hernandez, “A Simple Multi-Objective Optimization Based on the Cross-Entropy Method,” IEEE Access, vol. 5, pp. 22272–22281, 2017. View at Publisher · View at Google Scholar
  • Huali Zhao, and Hongwei Liu, “ Infeasible path-following interior point algorithm for Cartesian P * (κ) nonlinear complementarity problems over symmetric cones ,” International Journal of Computer Mathematics, pp. 1–25, 2017. View at Publisher · View at Google Scholar
  • Baudouin Dafflon, Maxime Guériau, and Franck Gechter, “Using Physics Inspired Wave Agents in a Virtual Environment,” International Journal of Monitoring and Surveillance Technologies Research, vol. 5, no. 2, pp. 15–28, 2017. View at Publisher · View at Google Scholar
  • Shibendu Mahata, Suman Kumar Saha, Rajib Kar, and Durbadal Mandal, “Artificial Raindrop Algorithm-Based Design of Wideband IIR Fractional Order Digital Integrators,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2017. View at Publisher · View at Google Scholar
  • Peng Liu, and Xiaoli Wang, “Maximum Lateness Scheduling on Two-Person Cooperative Games with Variable Processing Times and Common Due Date,” Journal of Optimization, vol. 2017, pp. 1–7, 2017. View at Publisher · View at Google Scholar
  • Ab Rahman Ahmad, Borkistang Mohamad, and Sami M. Halawani, “Algebraic or Algorithmic: Searching for Optimal Solutions in Multi-Stage Supply Chain Models,” Journal of Software Engineering and Applications, vol. 10, no. 08, pp. 663–676, 2017. View at Publisher · View at Google Scholar
  • Seyed Ali Rakhshan, “Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method,” Journal of the Operational Research Society, 2017. View at Publisher · View at Google Scholar
  • Erik Cuevas, Adolfo Reyna-Orta, and Margarita-Arimatea Díaz-Cortes, “A Multimodal Optimization Algorithm Inspired by the States of Matter,” Neural Processing Letters, 2017. View at Publisher · View at Google Scholar
  • Hamed Piroozfard, Kuan Yew Wong, and Ali Derakhshan Asl, “An improved biogeography-based optimization for achieving optimal job shop scheduling solutions,” Procedia Computer Science, vol. 115, pp. 30–38, 2017. View at Publisher · View at Google Scholar
  • Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal, and Nilotpal Banerjee, “A Heuristic Approach to Design Discrete Fractional Order Integrators without Using s-to-z Transform,” Solid State Phenomena, vol. 261, pp. 386–393, 2017. View at Publisher · View at Google Scholar
  • R. Venkata Rao, and Ankit Saroj, “A self-adaptive multi-population based Jaya algorithm for engineering optimization,” Swarm and Evolutionary Computation, 2017. View at Publisher · View at Google Scholar
  • Genyun Sun, Aizhu Zhang, and Zhenjie Wang, “Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms,” Hybrid Soft Computing for Image Segmentation, pp. 23–52, 2016. View at Publisher · View at Google Scholar
  • Mohamed Abd Allah El-Hadidy, “On Maximum Discounted Effort Reward Search Problem,” Asia-Pacific Journal of Operational Research, pp. 1650019, 2016. View at Publisher · View at Google Scholar
  • Apoorva Aggarwal, Manjeet Kumar, Tarun Kumar Rawat, and Dharmendra Kumar Upadhyay, “Optimal Design of 2D FIR Filters with Quadrantally Symmetric Properties Using Fractional Derivative Constraints,” Circuits Systems And Signal Processing, vol. 35, no. 6, pp. 2213–2257, 2016. View at Publisher · View at Google Scholar
  • Denis Horvath, Jozef Ulicny, and Branislav Brutovsky, “Self-organised manifold learning and heuristic charting via adaptive metrics,” Connection Science, pp. 1–26, 2016. View at Publisher · View at Google Scholar
  • Assem Mahmoud Abdelhakim, Hassan Ibrahim Saleh, and Amin Mohamed Nassar, “A Quality Guaranteed Robust Image Watermarking Optimization with Artificial Bee Colony,” Expert Systems with Applications, 2016. View at Publisher · View at Google Scholar
  • Adam P. Piotrowski, Maciej J. Napiorkowski, Jaroslaw J. Napiorkowski, Marzena Osuch, and Zbigniew W. Kundzewicz, “Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?,” Hydrological Sciences Journal, vol. 62, no. 4, pp. 606–625, 2016. View at Publisher · View at Google Scholar
  • Balamati Choudhury, Susan Thomas, and Rakesh Mohan Jha, “Implementation of Soft Computing Optimization Techniques in Antenna Engineering,” Ieee Antennas And Propagation Magazine, vol. 57, no. 6, pp. 122–131, 2016. View at Publisher · View at Google Scholar
  • Suman Kumar Saha, Durbadal Mandal, Shibendu Mahata, and Rajib Kar, “Optimal design of wideband infinite impulse response fractional order digital integrators using colliding bodies optimisation algorithm,” IET Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Pikkala Laxmi, Singuluri Indira, and Kanithi Jyothsna, “Ant colony optimization for optimum service times in a Bernoulli schedule vacation interruption queue with balking and reneging,” Journal of Industrial and Management Optimization, vol. 12, no. 4, pp. 1199–1214, 2016. View at Publisher · View at Google Scholar
  • Anupam Biswas, “Atom stabilization algorithm and its real life applications,” Journal of Intelligent & Fuzzy Systems, vol. 30, no. 4, pp. 2189–2201, 2016. View at Publisher · View at Google Scholar
  • Danielle M. D. Costa, Gabriela Belinato, Tarcísio G. Brito, Anderson P. Paiva, João R. Ferreira, and Pedro P. Balestrassi, “Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016. View at Publisher · View at Google Scholar
  • Bao-tong Li, Su-na Yan, and Jun Hong, “A growth-based topology optimizer for stiffness design of continuum structures under harmonic force excitation,” Journal of Zhejiang University-SCIENCE A, vol. 17, no. 12, pp. 933–946, 2016. View at Publisher · View at Google Scholar
  • Seyedali Mirjalili, “SCA: A Sine Cosine Algorithm for Solving Optimization Problems,” Knowledge-Based Systems, 2016. View at Publisher · View at Google Scholar
  • Binbin Sun, Song Gao, and Chao Ma, “Mathematical Methods Applied to Economy Optimization of an Electric Vehicle with Distributed Power Train System,” Mathematical Problems in Engineering, vol. 2016, pp. 1–14, 2016. View at Publisher · View at Google Scholar
  • Khaldoun K. Tahboub, Mahmoud Barghash, Mazen Arafeh, and Osama Ghazal, “An ANN-GA Framework for Optimal Engine Modeling,” Mathematical Problems in Engineering, vol. 2016, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Erhan Yazıcı, Gülçin Büyüközkan, and Murat Baskak, “A New Extended MILP MRP Approach to Production Planning and Its Application in the Jewelry Industry,” Mathematical Problems in Engineering, vol. 2016, pp. 1–18, 2016. View at Publisher · View at Google Scholar
  • Hamed Piroozfard, Kuan Yew Wong, and Wai Peng Wong, “Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm,” Resources, Conservation and Recycling, 2016. View at Publisher · View at Google Scholar
  • Karuppuchamy Annadurai, “Minimax Distribution-Free Procedure for Mixture Inventory Model with Variable Lead Time and a Service Level Constraint by Reducing Order Cost,” American Journal of Mathematical and Management Sciences, vol. 35, no. 1, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Radu-Emil Precup, Plamen Angelov, Bruno Sielly Jales Costa, and Moamar Sayed-Mouchaweh, “An overview on fault diagnosis and nature-inspired optimal control of industrial process applications,” Computers in Industry, 2015. View at Publisher · View at Google Scholar
  • Mohamad Adnan Al-Alaoui, Mohammed Baydoun, and Elias Yaacoub, “Confluence of pattern recognition and signal processing: application of Al-Alaoui pattern recognition algorithm to digital filters design,” Iet Signal Processing, vol. 9, no. 6, pp. 498–505, 2015. View at Publisher · View at Google Scholar
  • Manal K. Jalloul, and Mohamad Adnan Al-Alaoui, “Design of recursive digital integrators and differentiators using particle swarm optimization,” International Journal of Circuit Theory and Applications, 2015. View at Publisher · View at Google Scholar
  • Werner Huerlimann, “An explicit version of the Chebyshev-Markov-Stieltjes inequalities and its applications,” Journal Of Inequalities And Applications, 2015. View at Publisher · View at Google Scholar
  • Mohammad Kurdi, “A Structural Optimization Framework for Multidisciplinary Design,” Journal of Optimization, vol. 2015, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Qunzhen Qu, Kuan-Yu Chen, Yu-Min Wei, Yanjun Liu, Sang-Bing Tsai, and Weiwei Dong, “Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry,” Mathematical Problems in Engineering, vol. 2015, pp. 1–8, 2015. View at Publisher · View at Google Scholar
  • Hongtao Li, Wentie Niu, Shengli Fu, and Dawei Zhang, “Multiobjective Optimization of Steering Mechanism for Rotary Steering System Using Modified NSGA-II and Fuzzy Set Theory,” Mathematical Problems in Engineering, vol. 2015, pp. 1–13, 2015. View at Publisher · View at Google Scholar
  • Abd Allah El-Hadidy Mohamed, “Optimal searching for a Helix target motion,” Science China-Mathematics, vol. 58, no. 4, pp. 749–762, 2015. View at Publisher · View at Google Scholar
  • Sergio Nesmachnow, “Using Metaheuristics as Soft Computing Techniques for Efficient Optimization,” Encyclopedia of Information Science and Technology, Third Edition, pp. 7390–7399, 2014. View at Publisher · View at Google Scholar
  • Yong Liu, and Peng Tian, “A multi-start central force optimization for global optimization,” Applied Soft Computing, 2014. View at Publisher · View at Google Scholar
  • Masoud Rabbani, Shadi Sadri, Neda Manavizadeh, and Hamed Rafiei, “A novel bi-level hierarchy towards available-to-promise in mixed-model assembly line sequencing problems,” Engineering Optimization, pp. 1–16, 2014. View at Publisher · View at Google Scholar
  • Yevhen Zolotavkin, and Martti Juhola, “A New QIM-Based Watermarking Method Robust to Gain Attack,” International Journal of Digital Multimedia Broadcasting, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Veena Goswami, “A Discrete-Time Queue with Balking, Reneging, and Working Vacations,” International Journal of Stochastic Analysis, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Mehdi Ghamari Adian, and Mahin Ghamari Adyan, “Optimal and Suboptimal Resource Allocation in MIMO Cooperative Cognitive Radio Networks,” Journal of Optimization, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Devidas G. Jadhav, Shyam S. Pattnaik, and Sanjoy Das, “Memetic Algorithm with Local Search as Modified Swine Influenza Model-Based Optimization and Its Use in ECG Filtering,” Journal of Optimization, vol. 2014, pp. 1–22, 2014. View at Publisher · View at Google Scholar
  • Mi Gan, Zongping Li, and Si Chen, “On the Transformation Mechanism for Formulating a Multiproduct Two-Layer Supply Chain Network Design Problem as a Network Flow Model,” Mathematical Problems in Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
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