The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators’ effectiveness-Reference-Cited by-同舟云学术

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The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators’ effectiveness

Published:2023-10-19 Issue:2 Volume:28 Page:1073-1125
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Husseinzadeh Kashan Ali,Karimiyan Somayyeh,Kulkarni Anand J.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09151-3.pdf

Reference61 articles.

1. Abbasi-Pooya A, Husseinzadeh Kashan A (2017) A new mathematical models and a hybrid grouping evolution strategy algorithm for optimal helicopter routing and crew pickup and delivery. Comput Ind Eng 112:35–56

2. Abdel-Basset M, El-Shahata D, Jameel M, Abouhawwash M (2023) Young’s double-slit experiment optimizer: a novel metaheuristic optimization algorithm for global and constraint optimization problems. Comput Methods Appl Mech Eng 403:115652

3. Abdollahzadeh B, Gharehchopogh FS, Mirjalili S (2021) African vultures optimization algorithm: a new nature−inspired metaheuristic algorithm for global optimization problems. Comput Ind Eng 158:107408

4. Abdulhamid SM, Abd Latiff MS, Madni SHH, Oluwafemi O (2015) A Survey of league championship algorithm: prospects and challenges. Indian J Sci Technol 8:101–110

5. Abualigah L, Abd Elaziz M, Sumari P, Woo Geem Z, Gandomi A (2022) Reptile search algorithm (RSA): a nature−inspired meta−heuristic optimizer. Expert Syst Appl 191:116158

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