Mathematical Problems in Engineering

Swarm Intelligence in Engineering 2014


Publishing date
24 Oct 2014
Status
Published
Submission deadline
06 Jun 2014

1Dalian University of Technology, Dalian, China

2Jilin University, Changchun 130022, China

3Dalian Maritime University, Dalian 116024, China

4Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands


Swarm Intelligence in Engineering 2014

Description

Swarm intelligence (SI) is an artificial intelligence technique based on the study of behavior of simple individuals (e.g., ant colonies, bird flocking, animal herding, and honey bees) in various decentralized systems. The population, which consists of simple individuals, can usually solve complex tasks in nature by individuals interacting locally with one another and with their environment. Although their behaviors are primarily characterized by autonomy, distributed functioning, and self-organizing capacities, local interactions among the individuals often cause a global optimal.

Recently, SI algorithms have attracted much attention of researchers and have also been applied successfully to solve optimization problems in engineering. However, for large and complex problems, SI algorithms consume often much computation time due to stochastic feature of the search approaches. Therefore, there is a potential requirement to develop efficient algorithm to find solutions under the limited resources, time, and money in real-world applications.

The aim of this special issue is to highlight the most significant recent developments on the topics of SI and to apply SI algorithms in real-life scenario. Contributions containing new insights and findings in this field are welcome. Particular attention will be given to the following theme areas; however, it should be stressed that a broad range of submissions are encouraged. Potential topics include, but are not limited to:

  • Benchmarking and evaluation of new SI algorithms
  • Convergence proof for SI algorithms
  • Comparative theoretical and empirical studies on SI algorithms (e.g., ant colony optimization, particle swarm optimization, artificial bee swarm algorithm, bacterial foraging optimization, and artificial fish algorithm)
  • SI algorithms for real-world applications (e.g., aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering)

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/sie14/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 351496
  • - Research Article

Displacement Prediction of Tunnel Surrounding Rock: A Comparison of Support Vector Machine and Artificial Neural Network

Qingdong Wu | Bo Yan | ... | B. Yu
  • Special Issue
  • - Volume 2014
  • - Article ID 152494
  • - Research Article

A Framing Link Based Tabu Search Algorithm for Large-Scale Multidepot Vehicle Routing Problems

Xuhao Zhang | Shiquan Zhong | ... | Xuelian Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 381387
  • - Research Article

Short-Term Power Generation Energy Forecasting Model for Small Hydropower Stations Using GA-SVM

Gang Li | Yongjun Sun | ... | Qiyu Tu
  • Special Issue
  • - Volume 2014
  • - Article ID 430497
  • - Research Article

Real-Time Arterial Coordination Control Based on Dynamic Intersection Turning Fractions Estimation Using Genetic Algorithm

Pengpeng Jiao | Honglin Wang | Tuo Sun
  • Special Issue
  • - Volume 2014
  • - Article ID 385716
  • - Research Article

Hybrid Model for Early Onset Prediction of Driver Fatigue with Observable Cues

Mingheng Zhang | Gang Longhui | ... | Liping Zhou
  • Special Issue
  • - Volume 2014
  • - Article ID 531681
  • - Research Article

Research of Obstacle Recognition Technology in Cross-Country Environment for Unmanned Ground Vehicle

Zhao Yibing | Xu Hongbin | ... | Zhang Mingheng
  • Special Issue
  • - Volume 2014
  • - Article ID 356963
  • - Research Article

Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm

Yunpeng Wang | Yuqin Feng | ... | Li Zhang
  • Special Issue
  • - Volume 2014
  • - Article ID 575860
  • - Research Article

Pattern Synthesis of Planar Nonuniform Circular Antenna Arrays Using a Chaotic Adaptive Invasive Weed Optimization Algorithm

Huaning Wu | Chao Liu | Xu Xie
  • Special Issue
  • - Volume 2014
  • - Article ID 743904
  • - Research Article

Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm

Xun Zhang | Juelong Li | ... | Can He
  • Special Issue
  • - Volume 2014
  • - Article ID 460684
  • - Research Article

Forecasting Dry Bulk Freight Index with Improved SVM

Qianqian Han | Bo Yan | ... | B. Yu
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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