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Titlebook: Benchmarks and Hybrid Algorithms in Optimization and Applications; Xin-She Yang Book 2023 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 19:56:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Benchmarks and Hybrid Algorithms in Optimization and Applications
影響因子2023Xin-She Yang
視頻videohttp://file.papertrans.cn/184/183395/183395.mp4
發(fā)行地址Presents latest developments and findings on hybrid algorithms and benchmarks in optimization.Provides comprehensive reviews and surveys on implementations and coding aspects of benchmarks.Serves as a
學(xué)科分類Springer Tracts in Nature-Inspired Computing
圖書封面Titlebook: Benchmarks and Hybrid Algorithms in Optimization and Applications;  Xin-She Yang Book 2023 The Editor(s) (if applicable) and The Author(s),
影響因子.This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications..
Pindex Book 2023
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Xin-She YangPresents latest developments and findings on hybrid algorithms and benchmarks in optimization.Provides comprehensive reviews and surveys on implementations and coding aspects of benchmarks.Serves as a
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Ten New Benchmarks for Optimization,Benchmarks are used for testing new optimization algorithms and their variants to evaluate their performance. Most existing benchmarks are smooth functions. This chapter introduces ten new benchmarks with different properties, including noise, discontinuity, parameter estimation and unknown paths.
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Book 2023sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications..
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Surendran Deepanjali,Tamilarasu Kadhiravanoducible and comparable. In this work, we will resume three resolution case studies of Discrete Cuckoo Search (DCS) with the aim of providing an algorithm benchmarking. The resolution case studies are three Combinatorial Optimization Problems (COPs): Quadratic Assignment (QAP), Travelling Salesman (TSP) and Job Shop Scheduling Problem (JSSP).
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