| 书目名称 | OmeGA | | 副标题 | A Competent Genetic | | 编辑 | Dimitri Knjazew | | 视频video | | | 丛书名称 | Genetic Algorithms and Evolutionary Computation | | 图书封面 |  | | 描述 | .OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems. addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. ..This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling. . | | 出版日期 | Book 2002 | | 关键词 | Industrie; algorithms; calculus; code; combinatorial optimization; design; development; genetic algorithms; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-0807-6 | | isbn_softcover | 978-1-4613-5249-5 | | isbn_ebook | 978-1-4615-0807-6Series ISSN 1568-2587 | | issn_series | 1568-2587 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 16:16:33
