This book introduces the new experimentalism in evolutionary
computation, providing tools to understand algorithms and programs
and their interaction with optimization problems. It develops and
applies statistical techniques to analyze and compare modern search
heuristics such as evolutionary algorithms and particle swarm
optimization. The book bridges the gap between theory and
experiment by providing a self-contained experimental methodology
and many examples.
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