Evolutionary Algorithms In Engineering Applications [Book Reviews]

The ability to address difficult real-world problems is undoubtedly the central reason for the resurgence of interest in evolutionary computation that has occurred over the past decade. Until recently, applications of evolutionary algorithms were mostly found scattered throughout the literature. It was difficult for practitioners to locate many of these interesting applications and gain insight from these practical efforts. This volume edited by Dasgupta and Michalewicz offers a useful step to help remedy this situation by compiling an assortment of almost 30 papers that study the application of evolutionary computation for problems in civil, mechanical, and industrial engineering, computer science, power systems, control, and signal processing. The papers are organized by category and generally provide sufficient detail to allow the reader to gain not only the knowledge of how the authors tackled their respective problems, but also an understanding of how to carry some of the central algorithmic design issues over to their own problems. The volume begins with two introductory papers. The first, written by the editors, provides an overview of evolutionary computation that