A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization
Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
G Hu, K Song, X Li, Y Wang - Journal of Big Data, 2024 - Springer
Abstract The Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily
inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with …
inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with …