Sine Cosine Algorithm for Elite Individual Collaborative Search and Its Application in Mechanical Optimization Designs
Junjie Tang, Lianguo Wang, Ameer Hamza Khan, Shuai Li, Danish Hussain · 2023
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Description
Junjie Tang and co-authors improve a search algorithm in a 2023 paper. The sine cosine algorithm looks for best answers to hard design problems, but it can be slow, imprecise, and stuck at a local best. Their version adds elite individual collaborative search to fix those flaws.
A chaotic map spreads the starting points more evenly, and a curved function helps balance wide search with close search. Three search plans take turns, guided by local and global best results. A greedy step keeps the best points and speeds the work. Tests beat older methods, and two mechanical design cases showed the method could work in practice.
Catalog record
| CREATOR | Junjie Tang, Lianguo Wang, Ameer Hamza Khan, Shuai Li, Danish Hussain |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |