| 书目名称 | Intelligent Optimisation Techniques | | 副标题 | Genetic Algorithms, | | 编辑 | D. T. Pham,D. Karaboga | | 视频video | | | 概述 | The optimisation techniques covered are topical, modern and widely used in various engineering disciplines.Details all four techniques in one work.Presents a number of applications from a wide range o | | 图书封面 |  | | 描述 | This book covers four optimisation techniques loosely classified as "intelligent": genetic algorithms, tabu search, simulated annealing and neural networks. • Genetic algorithms (GAs) locate optima using processes similar to those in natural selection and genetics. • Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions. • Simulated annealing finds optima in a way analogous to the reaching of minimum energy configurations in metal annealing. • Neural networks are computational models of the brain. Certain types of neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function. Aimed at engineers, the book gives a concise introduction to the four techniques and presents a range of applications drawn from electrical, electronic, manufacturing, mechanical and systems engineering. The book contains listings of C programs implementing the main techniques described to assist readers wishing to experiment with them. The book does not assume a previous background in intell | | 出版日期 | Book 2000 | | 关键词 | Comp Sci in Engineering; algorithms; manufacturing; neural networks; operations research; systems enginee | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-0721-7 | | isbn_softcover | 978-1-4471-1186-3 | | isbn_ebook | 978-1-4471-0721-7 | | copyright | Springer-Verlag London Limited 2000 |
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发表于 2025-3-21 16:03:28
