Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
暫譯: 元啟發式演算法與工程及複雜系統的最佳化

R, Thanigaivelan, M, Suchithra, S, Kaliappan

  • 出版商: IGI Global
  • 出版日期: 2024-07-23
  • 售價: $11,600
  • 貴賓價: 9.5$11,020
  • 語言: 英文
  • 頁數: 424
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798369350027
  • ISBN-13: 9798369350027
  • 相關分類: 工程數學 Engineering-mathematics
  • 海外代購書籍(需單獨結帳)

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商品描述

In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization.

商品描述(中文翻譯)

在工程領域中,優化和決策已成為關鍵關注點。對數據處理需求的日益增加引發了延長處理時間和增加記憶體使用等問題,這在各個工程領域中造成了巨大的障礙。這些問題持續存在,不僅需要解決方案,還需要超越現有最佳實踐的進步。創建和實施新穎的啟發式演算法是一個耗時的過程,但這一需求依然強烈,因為即使是微小的改進也有潛力顯著降低計算成本。本書名為《工程與複雜系統的元啟發式演算法與優化》,在這一背景下成為創新的燈塔。它探討了對創新演算法解決方案的迫切需求,研究了超啟發式方法,提供了通過整合啟發式來自動化搜索空間的解決方案。本書旨在滿足廣泛的讀者群,是初學者和經驗豐富的動態優化實踐者的寶貴資源。通過涵蓋理論與實踐的範疇,以及離散與連續動態優化的比較,它成為這一引人入勝且新興領域中不可或缺的參考資料。本書特別關注包容性,旨在使任何對動態優化最新發展感興趣的人都能受益。