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

GERD847

书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications影响因子(影响力)




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications影响因子(影响力)学科排名




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications网络公开度




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications网络公开度学科排名




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications被引频次




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications被引频次学科排名




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications年度引用




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications年度引用学科排名




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications读者反馈




书目名称Benchmarks and Hybrid Algorithms in Optimization and Applications读者反馈学科排名

吼叫

影响深远

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

休闲

调整

Ondines-curse

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.

Nostalgia

insular

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..

Regurgitation

fertilizer

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).