This Book Compiles Recent Advances Of Evolutionary Algorithms In Dynamic And Uncertain Environments Within A Unified Framework. The Book Is Motivated By The Fact That Some Degree Of Uncertainty Is Inevitable In Characterizing Any Realistic Engineering Systems. Discussion Includes Representative Meth
[Studies in Computational Intelligence] Evolutionary Computation in Dynamic and Uncertain Environments Volume 51 || Particle Swarm Optimization in Dynamic Environments
β Scribed by Yang, Shengxiang; Ong, Yew-Soon; Jin, Yaochu
- Book ID
- 120445999
- Publisher
- Springer Berlin Heidelberg
- Year
- 2007
- Weight
- 525 KB
- Category
- Article
- ISBN
- 3540497749
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This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where
Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and ma