Theory and Applications of Evolutionary Computation

Call for Papers

Evolutionary computation is a powerful problem solver inspired from natural evolution. It has accomplished a great number of success stories in dealing with hard and complex problems. This special issue of Applied Computational Intelligence and Soft Computing will focus on the theory and applications of evolutionary computation, for example, genetic algorithm, evolutionary strategies, genetic programming, particle swarm optimization, ant colony optimization, artificial immune systems, estimation of distribution algorithm, differential evolution, and memetic algorithm.

The aim of this special issue is to reflect recent advances and state-of-the-art developments in the theoretical and practical aspects of evolutionary computation. Topics of interest include, but are not limited to:

• Theory
  • Markov chain analysis
  • Population dynamics
  • Runtime analysis
  • Convergence analysis
  • Genetic drift
  • Parameter analysis
  • Fitness landscape
  • Performance measure
• Applications
  • Combinatorial and numerical optimization
  • Scheduling and planning
  • Constraint handling
  • Multiobjective optimization
  • Data mining
  • Machine learning
  • Engineering design
  • Wireless networks
  • Bioinformatics
  • Games
  • Computer vision and image processing
  • Control
  • Bioinformatics

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

Lead Guest Editor

• Tzung-Pei Hong, Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan

Guest Editors

• Chuan-Kang Ting, Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
• Oliver Kramer, Department of Computer Science, Technische Universität Dortmund, 44221 Dortmund, Germany