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Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series
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Roberto Battiti 作者
Springer
譯者
2008-11-06 出版日期
206 頁數
USD 99.00 價格
Hardcover
叢書系列
9780387096230 圖書編碼

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Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 用戶評價

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Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 著者簡介

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 著者簡介

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Reactive Search and Intelligent Optimization (Operations Research/Computer Science Interfaces Series 在線電子書 圖書描述

Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics. Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities for the automated tuning of these parameters.

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