American Journal of Computer Science and Technology, Год журнала: 2024, Номер 7(4), С. 195 - 217

Опубликована: Дек. 23, 2024

The exponential growth of industrial enterprise has highly increased the demand for effective and efficient optimization solutions. Which is resulting to broad use meta heuristic algorithms. This study explores eminent bio-inspired population based techniques, including Particle Swarm Optimization (PSO), Spider Monkey (SMO), Grey Wolf (GWO), Cuckoo Search (CSO), Grasshopper Algorithm (GOA), Ant Colony (ACO). These methods which are inspired by natural biological phenomena, offer revolutionary problems solving abilities with rapid convergence rates high fitness scores. investigation examines each algorithm's unique features, properties, operational paradigms, conducting comparative analyses against conventional methods, such as search history, functions express their superiority. also assesses relevance, arithmetic andlogical efficiency, applications, innovation, robustness, andlimitations. findings show transformative potential these algorithms offering valuable wisdom future research enhance broaden upon methodologies. finding assists a guiding researchers enable inventive solutions in advancing field optimization.

Язык: Английский