Chaotic Optimization Methods for Engineering Applications

Call for Chapters

Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (Eds.)

Chaos in nonlinear dynamical systems is in the meantime a well-established discipline in physics, chemistry, power electronics, biology, ecology, economics, among others, has been extensively demonstrated and well established. Chaos is a kind of characteristic of nonlinear systems, which is a bounded unstable dynamic behavior that exhibits sensitive dependence on initial conditions and includes infinite unstable periodic motions.

The combination of optimization methods and fundamentals of chaotic systems are important issues in nonlinear science and has attracted increased interests from various fields in recent years. Chaotic optimization is a novel stochastic optimization algorithm, which directly utilizes chaotic variables to search the optimal solution. The ergodic regularity and intrinsic stochastic property of chaos make chaotic optimization to obtain the global optimal solution more possible than the method having been adopted before. It can more easily escape from local minima than other stochastic algorithms.

For this book, we seek original contributions on any aspect related to optimization methods with utilization of concepts of chaotic time series, attractors, dissipative systems, Lyapunov exponents, fractal dimensions, and/or bifurcation theory. Applications of chaotic optimization methodologies to real-world system are welcome. The topics of interest include, but not limited to:

  • Chaotic optimization applied to constrained optimization problems
  • Self-adaptive chaotic optimization algorithms
  • Chaotic optimization algorithms for optimization in robotics
  • Chaotic optimization algorithms for tuning of controllers
  • Chaotic optimization algorithms for electrical power systems
  • Chaotic optimization algorithms for neural, fuzzy and neuro-fuzzy systems design
  • Hybrid intelligent optimization methods combining evolutionary computation with chaotic optimization
  • Swarm intelligence methodologies hybridized with chaotic optimization
  • Chaotic optimization algorithms for multi-objective optimization and co-evolution
  • Applications of chaotic optimization in engineering

The time schedule for this publication is as follows:

  1. Manuscript submission: May 28, 2010
  2. Authors Notification: August 30, 2010
  3. Camera-ready submission: September 25, 2010
If you intend to contribute to this book, please send an e-mail to Dr. Nadia Nedjah, informing the title of the chapter and its abstract.

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