An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm DOI Creative Commons
Olympia Roeva, Dafina Zoteva,

Gergana Roeva

и другие.

Mathematics, Год журнала: 2024, Номер 12(23), С. 3815 - 3815

Опубликована: Дек. 2, 2024

This paper presents an effective hybrid metaheuristic algorithm combining the genetic (GA) and a simple based on evolutionary computation. The approach (EA) is applied to form initial population of GA, thus improving algorithm’s performance, especially its convergence speed. To assess effectiveness, proposed algorithm, EAGA, evaluated selected benchmark functions, as well real optimisation process. EAGA used identify parameters in nonlinear system differential equations modelling E. coli fed-batch fermentation obtained results are compared against published from algorithms problems. outperforms competing due generation strategy. risk premature reduced. Better numerical outcomes achieved. investigations validate potential for solving complex tasks.

Язык: Английский

Cluster-based healthcare network design problem with referral system using a hybrid genetic algorithm DOI
Luqi Wang, Guoqing Yang, Jianmin Xu

и другие.

Socio-Economic Planning Sciences, Год журнала: 2025, Номер unknown, С. 102174 - 102174

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm DOI Creative Commons
Olympia Roeva, Dafina Zoteva,

Gergana Roeva

и другие.

Mathematics, Год журнала: 2024, Номер 12(23), С. 3815 - 3815

Опубликована: Дек. 2, 2024

This paper presents an effective hybrid metaheuristic algorithm combining the genetic (GA) and a simple based on evolutionary computation. The approach (EA) is applied to form initial population of GA, thus improving algorithm’s performance, especially its convergence speed. To assess effectiveness, proposed algorithm, EAGA, evaluated selected benchmark functions, as well real optimisation process. EAGA used identify parameters in nonlinear system differential equations modelling E. coli fed-batch fermentation obtained results are compared against published from algorithms problems. outperforms competing due generation strategy. risk premature reduced. Better numerical outcomes achieved. investigations validate potential for solving complex tasks.

Язык: Английский

Процитировано

0