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 2015
  • - Article ID 858901
  • - Editorial

Swarm Intelligence in Engineering 2014

Baozhen Yao | Fang Zong | ... | Rui Mu
  • Special Issue
  • - Volume 2015
  • - Article ID 619178
  • - Research Article

Short-Term Wind Speed Forecasting Using Support Vector Regression Optimized by Cuckoo Optimization Algorithm

Jianzhou Wang | Qingping Zhou | ... | Ru Hou
  • Special Issue
  • - Volume 2015
  • - Article ID 265723
  • - Research Article

Multipeak Mean Based Optimized Histogram Modification Framework Using Swarm Intelligence for Image Contrast Enhancement

P. Babu | V. Rajamani | K. Balasubramanian
  • Special Issue
  • - Volume 2015
  • - Article ID 620425
  • - Research Article

Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

Imran Rahman | Pandian M. Vasant | ... | M. Abdullah-Al-Wadud
  • Special Issue
  • - Volume 2015
  • - Article ID 183701
  • - Research Article

Optimal Sizing of a Photovoltaic-Hydrogen Power System for HALE Aircraft by means of Particle Swarm Optimization

Victor M. Sanchez | Romeli Barbosa | ... | J. Hernandez
  • Special Issue
  • - Volume 2015
  • - Article ID 423642
  • - Research Article

Hybrid Biogeography Based Optimization for Constrained Numerical and Engineering Optimization

Zengqiang Mi | Yikun Xu | ... | Liqing Liu
  • Special Issue
  • - Volume 2015
  • - Article ID 925139
  • - Research Article

Taxiing Route Scheduling between Taxiway and Runway in Hub Airport

Yu Jiang | Xinxing Xu | ... | Yuxiao Luo
  • Special Issue
  • - Volume 2015
  • - Article ID 790465
  • - Research Article

The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution

Petr Maca | Pavel Pech
  • Special Issue
  • - Volume 2015
  • - Article ID 973291
  • - Research Article

An Adapted Firefly Algorithm for Product Development Project Scheduling with Fuzzy Activity Duration

Minmei Huang | Jijun Yuan | Jing Xiao
  • Special Issue
  • - Volume 2015
  • - Article ID 814871
  • - Research Article

Study of On-Ramp PI Controller Based on Dural Group QPSO with Different Well Centers Algorithm

Tao Wu | Xi Chen | Yusong Yan
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate28%
Submission to final decision76 days
Acceptance to publication38 days
CiteScore1.130
Impact Factor1.179
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