| 書目名稱 | Evolutionary Algorithms for Solving Multi-Objective Problems |
| 編輯 | Carlos A. Coello Coello,Gary B. Lamont,David A. Va |
| 視頻video | http://file.papertrans.cn/318/317814/317814.mp4 |
| 概述 | Designed for courses on Evolutionary Multi-objective Optimization and Evolutionary Algorithms.2nd Edition is completely updated and presents the latest research.Provides a complete set of teaching tut |
| 叢書名稱 | Genetic and Evolutionary Computation |
| 圖書封面 |  |
| 描述 | .Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. ..This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.. |
| 出版日期 | Textbook 2007Latest edition |
| 關(guān)鍵詞 | Algorithms; Analysis; algorithm; classification; computer; computer science; evolutionary algorithm; heuris |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-0-387-36797-2 |
| isbn_softcover | 978-1-4899-9460-8 |
| isbn_ebook | 978-0-387-36797-2Series ISSN 1932-0167 Series E-ISSN 1932-0175 |
| issn_series | 1932-0167 |
| copyright | Springer-Verlag US 2007 |
|Archiver|手機(jī)版|小黑屋|
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