Refining the Eel and Grouper Optimizer with Intelligent Modifications for Global Optimization DOI Creative Commons

Glykeria Kyrou,

Vasileios Charilogis,

Ioannis G. Tsoulos

et al.

Computation, Journal Year: 2024, Volume and Issue: 12(10), P. 205 - 205

Published: Oct. 14, 2024

Global optimization is used in many practical and scientific problems. For this reason, various computational techniques have been developed. Particularly important are the evolutionary techniques, which simulate natural phenomena with aim of detecting global minimum complex A new method Eel Grouper Optimization (EGO) algorithm, inspired by symbiotic relationship foraging strategy eels groupers marine ecosystems. In present work, a series improvements proposed that both at efficiency algorithm to discover total multidimensional functions reduction required execution time through effective number functional evaluations. These modifications include incorporation stochastic termination technique as well an improvement sampling technique. The tested on available from relevant literature compared other methods.

Language: Английский

A Sequoia-Ecology-Based Metaheuristic Optimisation Algorithm for Multi-Constraint Engineering Design and UAV Path Planning DOI Creative Commons

Shijie Fan,

Ruichen Wang, Kang Su

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105130 - 105130

Published: April 1, 2025

Language: Английский

Citations

0

GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications DOI Creative Commons

Jialing Yan,

Gang Hu,

Heming Jia

et al.

Journal Of Big Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: May 9, 2025

Language: Английский

Citations

0

Refining the Eel and Grouper Optimizer with Intelligent Modifications for Global Optimization DOI Creative Commons

Glykeria Kyrou,

Vasileios Charilogis,

Ioannis G. Tsoulos

et al.

Computation, Journal Year: 2024, Volume and Issue: 12(10), P. 205 - 205

Published: Oct. 14, 2024

Global optimization is used in many practical and scientific problems. For this reason, various computational techniques have been developed. Particularly important are the evolutionary techniques, which simulate natural phenomena with aim of detecting global minimum complex A new method Eel Grouper Optimization (EGO) algorithm, inspired by symbiotic relationship foraging strategy eels groupers marine ecosystems. In present work, a series improvements proposed that both at efficiency algorithm to discover total multidimensional functions reduction required execution time through effective number functional evaluations. These modifications include incorporation stochastic termination technique as well an improvement sampling technique. The tested on available from relevant literature compared other methods.

Language: Английский

Citations

0