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Experimental Research in Evolutionary Computation

The New Experimentalism

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.

—Ian Hacking In this chapter we discuss the role of experiments in evolutionary
computation. First, problems related to experiments are presented. Objections
stated by theoreticians, for example, “Algorithms are formal objects and should
be ...