书目名称 | Foundations of Computational Intelligence Volume 3 |
副标题 | Global Optimization |
编辑 | Ajith Abraham,Aboul-Ella Hassanien,Andries Engelbr |
视频video | |
概述 | Third volume of a Reference work on the foundations of Computational Intelligence.Devoted to Global Optimization |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | .Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc....Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing int |
出版日期 | Book 2009 |
关键词 | Computational Intelligence; Global Optimization; algorithm; architecture; circuit design; combinatorial o |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-01085-9 |
isbn_softcover | 978-3-642-10165-6 |
isbn_ebook | 978-3-642-01085-9Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Springer-Verlag Berlin Heidelberg 2009 |