Genetic Algorithms and Engineering Optimization

Rating:
Summary: Thorough and well-organized reference
Review: After an introductory review of the literature, Gen and Cheng write a chapter on each class of optimization problems that have been solved with genetic algorithms. Within the chapters they systematically describe each technique that has been used to apply genetic algorithms to the particular problem. Descriptions include the underlying math and a step-wise procedure for implementation. These are backed up with multiple graphs and illustrations, and copious references (737 references in all). A few more actual examples would have helped, especially in the Multiobjective Optimization chapter. The clear organization and number of references make this an excellent reference for the practitioner, but the level of detail could make it difficult for someone new to the technique.