| 书目名称 | EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation | | 编辑 | Emilia Tantar,Alexandru-Adrian Tantar,Oliver Schüt | | 视频video | | | 概述 | Builds a bridge between probability, statistics, set oriented.Numerics and evolutionary computing.Fosters a growing interest for robust and efficient methods with a sound theoretical background.Unifie | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. .The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background..The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set | | 出版日期 | Book 2013 | | 关键词 | Computational Intelligence; Evolutionary Computation; Probability; Set Oriented Numerics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-32726-1 | | isbn_softcover | 978-3-642-44503-3 | | isbn_ebook | 978-3-642-32726-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Berlin Heidelberg 2013 |
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发表于 2025-3-21 19:02:23
