Constraint-Handling in Evolutionary Optimization

• Corporate Author: SpringerLink (Online service)
• Other Authors: Mezura-Montes, Efrén (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 198
• Subjects: Computer science.; Artificial intelligence.; Computer-aided engineering.; Applied mathematics.; Engineering mathematics.; Computer Science.; Computer-Aided Engineering (CAD, CAE) and Design.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

An efficient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex optimization problems. This edited book presents a collection of recent advances in nature-inspired techniques for constrained numerical optimization. The bo...

Table of Contents:

• Continuous Constrained Optimization with Dynamic Tolerance Using the COPSO Algorithm
• Boundary Search for Constrained Numerical Optimization Problems
• Solving Difficult Constrained Optimization Problems by the ? Constrained Differential Evolution with Gradient-Based Mutation
• Constrained Real-Parameter Optimization with ? -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.