2012/10/23 by Tarun Kumar Sharma, Sharma, Tarun Kumar, Millie Pant +3
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computational Engineering #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Finance #Metaheuristic Optimization Algorithms Research #and Science (cs.CE)
paper · pdf · doi:10.48550/arxiv.1210.6128
openalex publication_date 2012/10/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Artificial bee colony (ABC), an optimization algorithm is a recent addition to the family of population based search algorithm. ABC has taken its inspiration from the collective intelligent foraging behavior of honey bees. In this study we have incorporated golden section search mechanism in the structure of basic ABC to improve the global convergence and prevent to stick on a local solution. The proposed variant is termed as ILS-ABC. Comparative numerical results with the state-of-art algorithms show the performance of the proposal when applied to the set of unconstrained engineering design problems. The simulated results show that the proposed variant can be successfully applied to solve real life problems.