Constraint-Handling in Evolutionary Optimization

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Efrén Mezura-Montes
Springer Science & Business Media, Apr 7, 2009 - Computers - 264 pages
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This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.

 

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Contents

Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm
1
Boundary Search for Constrained Numerical Optimization Problems
25
Solving Difficult Constrained Optimization Problems by the ε Constrained Differential Evolution with GradientBased Mutation
50
Constrained RealParameter Optimization with εSelfAdaptive Differential Evolution
73
Selfadaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization
95
An Adaptive Penalty Function for Handling Constraint in Multiobjective Evolutionary Optimization
121
Infeasibility Driven Evolutionary Algorithm for Constrained Optimization
144
On GAAIS Hybrids for Constrained Optimization Problems in Engineering
167
Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms
193
ConstraintHandling in Evolutionary Aerodynamic Design
218
A Survey
237
Index
263
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