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Meta-heuristic Optimization Algorithm

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出版日:2025/05/22 作者:Fernando Israel Gómez-Castro(EDI)  出版社:De Gruyter  裝訂:平裝
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出版日:2025/04/08 作者:Tanmay Das  出版社:LAP LAMBERT ACADEMIC PUB  裝訂:平裝
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出版日:2024/04/05 作者:Rosario Toscano  出版社:Springer Nature  裝訂:精裝
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出版日:2024/03/16 作者:Ali Kaveh  出版社:Springer Nature  裝訂:平裝
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出版日:2023/10/11 作者:Manju Khari(EDI)  出版社:Springer Nature  裝訂:平裝
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出版日:2023/06/26 作者:Tome Eftimov  出版社:Springer Nature  裝訂:平裝
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出版日:2023/03/27 作者:Ali Kaveh  出版社:Springer Nature  裝訂:精裝
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出版日:2022/10/21 作者:Manju Khari(EDI)  出版社:Springer Nature  裝訂:精裝
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出版日:2021/12/31 作者:Mangey Ram(EDI)  出版社:De Gruyter  裝訂:精裝
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出版日:2021/09/10 作者:Oscar Castillo  出版社:Springer Nature  裝訂:平裝
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Dynamic Parameter Adaptation for Meta-heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
90 折
出版日:2018/03/22 作者:Frumen Olivas; Fevrier Valdez; Oscar Castillo; Patricia Melin  出版社:Springer-Verlag New York Inc  裝訂:平裝
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods
優惠價: 9 2835
無庫存
出版日:2017/09/29 作者:Bozorg-Haddad  出版社:John Wiley & Sons Inc  裝訂:精裝
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuris
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出版日:2016/10/06 作者:Pasquale Arpaia; Carlo Manna  出版社:CRC Press UK  裝訂:精裝
Based on practical field experience and several case studies, this book presents state-of-the-art artificial intelligence techniques, validating their efficiency and accuracy in real-world industrial
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出版日:2019/01/14 作者:Camilo Caraveo; Fevrier Valdez; Oscar Castillo  出版社:Springer-Nature New York Inc  裝訂:平裝
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival
定價:3499 元
無庫存
出版日:2018/11/19 作者:Siddhartha Bhattacharyya (EDT); Hrishikesh Bhaumik (EDT); Anirban Mukherjee (EDT); Sourav De (EDT)  出版社:De Gruyter  裝訂:精裝
A metaheuristic is a higher-level procedure designed to select a heuristic (partial search algorithm) that may lead to a sufficiently good solution to an optimization problem, especially with incomple
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Metaheuristic Optimization in Power Engineering
滿額折
出版日:2018/06/26 作者:Jordan Radosavljevic  出版社:Inst of Engineering & Technology  裝訂:精裝
A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a sufficiently good solution to an optimization problem with incomp
優惠價: 79 6399
無庫存
出版日:2017/07/11 作者:Omid Bozorg-Haddad (EDT)  出版社:Springer-Verlag New York Inc  裝訂:精裝
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering,
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出版日:2016/12/16 作者:A. Kaveh  出版社:Springer Verlag  裝訂:精裝
The book presents recently developed efficient meta-heuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be us
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出版日:2015/06/25 作者:A. Kaveh; V. R. Mahdavi  出版社:Springer Verlag  裝訂:精裝
This book presents and applies a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO) for various optimization problems. The first part of the book introduc
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出版日:2012/09/30 作者:Pandian Vasant (EDT)  出版社:Igi Global  裝訂:精裝
The meta-heuristic hybrid optimization techniques discussed in this collection address the intrinsic difficulty of algorithms and the need to model uncertainty problems troubling modern industrial, bu
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出版日:1997/06/01 作者:Fred Glover; Manuel Laguna  出版社:Springer Verlag  裝訂:精裝
Not about looking for kiddy porn on the Net, but an exploration of a meta-heuristic approach to solving hard optimization problems in such realms as resource planning, telecommunications, circuit desi
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出版日:2015/05/01 作者:徐俊傑  出版社:中國科學技術大學出版社  裝訂:平裝
《元啟發式優化算法:理論闡釋與應用》主要介紹兩類元啟發式優化算法:第一類是群體智能算法,包括蟻群優化和粒子群優化兩種仿生算法;第二類是微正則退火算法,它藉鑑物理學相關原理,改進了傳統模擬退火機制。借助仿真手段,《元啟發式優化算法:理論闡釋與應用》著重研究了上述元啟發式優化算法的若干改進策略及應用,主要內容涉及元啟發式優化算法的產生背景及相關概念,蟻群優化與粒子群優化的研究現狀、基本算法及改進方法,
出版日:2018/06/29 作者:Ahmed F. Zobaa (EDT); Shady H. E. Abdel Aleem; Almoataz Youssef Abdelaziz  出版社:Academic Pr  裝訂:平裝
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in
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