This book is the result of a successful special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007, with the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired approaches. The book covers six main topics: The first two chapters refer to swarm- intelligence-based approaches. Differential evolution, a very competitive evolutionary algorithm for constrained optimization, is studiedin the next three chapters. Two different constraint-handling techniques for evolutionary multiobjective optimization are presented in the two subsequent chapters. Two hybrid approaches, one with a combination of two nature-inspired heuristics and the other with the mix of a genetic algorithm and a local search operator, are detailed in the next two chapters. Recent research in Constraint-Handling in Evolutionary Optimization INDICE: Continuous Constrained Optimization with Dynamic Tolerance using the COPSO algorithm.-Boundary Search for Constrained Numerical Optimization Problems.- Solving Difficult Constrained Optimization Problems by the e Constrained Differential Evolution with Gradient-Based Mutation .- Constrained Real-Parameter Optimization with e -Self-Adaptive Differential Evolution.- Self-Adaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization.- An Adaptive Penalty Function for Handling Constraint in Multi-Objective Evolutionary Optimization.- Infeasibility Driven Evolutionary Algorithm for Constrained Optimization.- On GA-AIS Hybrids for Constrained Optimization Problems in Engineering.- Constrained Optimization based on Quadratic Approximations in Genetic Algorithms.- Constraint-Handling in Evolutionary Aerodynamic Design.- Handling Constraints in Global Optimization Using Artificial Immune Systems: A Survey.
- ISBN: 978-3-642-00618-0
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 265
- Fecha Publicación: 01/04/2009
- Nº Volúmenes: 1
- Idioma: Inglés