Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: IV International Conference on Advances in Materials, Earth Science and Technology (CAMSTech-IV-2024); Bukhara; Bukhara

Год издания: 2026

Идентификатор DOI: 10.1063/5.0322422

Аннотация: This paper describes an approach to improve the multi-population particle swarm optimization algorithm for dynamic problems using genetic programming approach. In particular, the mQSO algorithm is considered, applied to the generalized moving peaks benchmark. The PushGP algorithm is used to generate new local search methods for mQSПоказать полностьюO instead of the simple random search around the best point. The experiments show that PushGP allows creating new search heuristics automatically, and the best found algorithms improve the mQSO performance.

Журнал: Proceedings of the IV International Conference on Advances in Materials, Earth Science and Technology (CAMSTech-IV-2024)

Номера страниц: 60012

Место издания: Melville

• Stanovov Vladimir (Reshetnev Siberian State University of Science and Technology)
• Semenkin Eugene (Reshetnev Siberian State University of Science and Technology)

• Ядро РИНЦ (eLIBRARY.RU)