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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010175458 | QA402.5 W334 2008 | Open Access Book | Book | Searching... |
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Summary
Summary
Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods.
Reviews 1
Choice Review
Optimization methods are widely used in scheduling, decision making, planning, and prediction applications. The problem is to seek a solution that closely satisfies the desired goal under the given constraints. This book begins with a review of the classical constrained and unconstrained optimization techniques. Next, Wahde (Chalmers Univ. of Technology, Sweden) introduces the fundamentals of evolutionary algorithms and gives examples of using these algorithms for solving practical problems. The author then presents two biologically inspired approaches: ant colony optimization and particle swarm optimization. What is particularly valuable is that Wahde does not just present the theories, but also includes applications suitable for the presented methods. These examples help the reader to understand the extent to which the methods can be used in real-life applications. The last chapter addresses performance comparisons with other optimization methods, including artificial neural networks, classical techniques, and genetic algorithms. This volume is designed as an introductory resource for optimization and comes complete with exercises. For maximum benefit, upper-division mathematics is required to understand the materials. Summing Up: Recommended. Upper-division undergraduates, graduate students, researchers, and faculty. J. Y. Cheung emeritus, Compsys Consulting
