Optimization Techniques for Solving Complex Problems (Hardcover)
暫譯: 解決複雜問題的優化技術 (精裝版)
Enrique Alba, Christian Blum, Pedro Asasi, Coromoto Leon, Juan Antonio Gomez
- 出版商: Wiley
- 出版日期: 2009-03-01
- 售價: $1,550
- 貴賓價: 9.8 折 $1,519
- 語言: 英文
- 頁數: 504
- 裝訂: Hardcover
- ISBN: 0470293322
- ISBN-13: 9780470293324
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相關分類:
工程數學 Engineering-mathematics
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商品描述
Description
Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics.
Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more.
Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more.
All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.
商品描述(中文翻譯)
描述
在這裡,一組國際專家匯集了核心理念,以解決各種現實世界環境中的複雜優化問題,包括計算機科學、工程、交通運輸、電信和生物資訊學。
第一部分—涵蓋了複雜問題解決的方法論,包括遺傳編程、神經網絡、遺傳算法、混合進化算法等。
第二部分—深入探討應用,包括DNA測序與重建、電信網絡中天線的位置、元啟發式演算法、FPGA、電信網絡中出現的問題、圖像處理、時間序列預測等。
所有章節都包含示例,說明應用本身以及算法的實際性能。《解決複雜問題的優化技術》是從事現實世界優化工作的實務者和研究人員的重要資源。
