| 书目名称 | Genetic Algorithms and Fuzzy Multiobjective Optimization | | 编辑 | Masatoshi Sakawa | | 视频video | | | 丛书名称 | Operations Research/Computer Science Interfaces Series | | 图书封面 |  | | 描述 | Since the introduction of genetic algorithms in the 1970s, anenormous number of articles together with several significantmonographs and books have been published on this methodology. As aresult, genetic algorithms have made a major contribution tooptimization, adaptation, and learning in a wide variety of unexpectedfields. Over the years, many excellent books in genetic algorithmoptimization have been published; however, they focus mainly onsingle-objective discrete or other hard optimization problems undercertainty. There appears to be no book that is designed to presentgenetic algorithms for solving not only single-objective but alsofuzzy and multiobjective optimization problems in a unified way..Genetic Algorithms And Fuzzy Multiobjective Optimization.introduces the latest advances in the field of genetic algorithmoptimization for 0-1 programming, integer programming, nonconvexprogramming, and job-shop scheduling problems under multiobjectivenessand fuzziness. In addition, the book treats a wide range of actualreal world applications. The theoretical material and applicationsplace special stress on interactive decision-making aspects of fuzzymultiobjective optimization for huma | | 出版日期 | Book 2002 | | 关键词 | addition; algorithms; linear optimization; multi-objective optimization; nonlinear optimization; operatio | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-1519-7 | | isbn_softcover | 978-1-4613-5594-6 | | isbn_ebook | 978-1-4615-1519-7Series ISSN 1387-666X Series E-ISSN 2698-5489 | | issn_series | 1387-666X | | copyright | Kluwer Academic Publishers 2002 |
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发表于 2025-3-21 16:13:34
