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Titlebook: How to Solve It: Modern Heuristics; Zbigniew Michalewicz,David B. Fogel Textbook 20001st edition Springer-Verlag Berlin Heidelberg 2000 Ev

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發(fā)表于 2025-3-21 19:39:55 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱How to Solve It: Modern Heuristics
編輯Zbigniew Michalewicz,David B. Fogel
視頻videohttp://file.papertrans.cn/429/428816/428816.mp4
概述First book to offer a systematic, integrated introduction to heuristics for problem solving that reflects the state of the art in both numerical and analytic methods.Handy reference for addressing rea
圖書封面Titlebook: How to Solve It: Modern Heuristics;  Zbigniew Michalewicz,David B. Fogel Textbook 20001st edition Springer-Verlag Berlin Heidelberg 2000 Ev
描述‘I will tel! you‘ the hermit said to Lancelot ‘the right of the matter.‘ Anonymous, The Quest of the Holy Grail Gyorgy Polya‘s How to Solve It [287] stands as one of the most important contributions to the problem-solving literatme in the twentieth century. Even now, as we move into the new millennium, the book continues tobe a favorite among teachers and students for its instructive heuristics. The first edition of the book appeared in 1945, near the end of the Second World War and a few years before the invention of the transistor. The book was a quick success, and a second edition came out in 1957. How to Solve It is a compendium of approaches for tackling problems as we find them in mathematics. That is, the book provides not only examples of techniques and procedures, but also instruction on how to make analogies, use auxiliary devices, work backwards from the goal to the given, and so forth. Es- sentially, the book is an encyclopedia of problem-solving methods to be carried out by hand, but more than that, it is a treatise on how to think about framing and attacking problems.
出版日期Textbook 20001st edition
關(guān)鍵詞Evoltionary Computation; Evolutio?re Algorithmen; Heuristik; Modern Heuristics; Probleml?sen; algorithms;
版次1
doihttps://doi.org/10.1007/978-3-662-04131-4
isbn_ebook978-3-662-04131-4
copyrightSpringer-Verlag Berlin Heidelberg 2000
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Escaping Local Optimang the global solution, i.e., there is almost no chance of finding polynomial-time algorithms for most real problems (as they tend to be NP-hard), the other remaining option aims at designing algorithms that are capable of escaping local optima.
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Springer-Verlag Berlin Heidelberg 2000
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https://doi.org/10.1007/978-3-662-04131-4Evoltionary Computation; Evolutio?re Algorithmen; Heuristik; Modern Heuristics; Probleml?sen; algorithms;
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Why Are Some Problems Difficult to Solve?At the risk of starting with a tautology, real-world problems are difficult to solve, and they are difficult for several reasons:
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Traditional Methods — Part 2We’ve seen a slew of techniques that manipulate complete solutions. Let’s now consider some of the algorithms that work with partial or incomplete solutions and solve problems by constructing solutions one piece at a time. We begin with the best-known category: greedy algorithms.
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