Open Access Open Access  Restricted Access Subscription or Fee Access

Pbest-Guided Artificial Bee Colony Algorithm for Global numerical Function Optimization

Jianfeng Qiu, Yufeng Shen, Juan Xie, Jiwen Wang

Abstract


Artificial Bee Colony (ABC) Algorithm is a population-based optimization algorithm, which has been shown to be superior to other evolution algorithm, such as differential evolution (DE) algorithm, particle swarm optimization (PSO) algorithm. However, there are still some shortcomings of the ABC algorithm in search strategies which is good at exploration and bad at exploitation. Inspired by DE, a new search strategy which some inferior solutions are considered is proposed to improve optimization performance of ABC algorithm. In this paper, the new improved ABC algorithm is proposed combining some inferior information with ABC algorithm, namely “ABC/current-to-pbest” algorithm. Simulation results show that ABC/current-to-pbest algorithm is effective in accelerating convergence while avoiding pre-mature especially solving multimodal problems when compared with other population-based algorithms according to a set of 24 test functions.

Keywords


Artificial Bee Colony, Swarm Intelligence, Optimization, perturbed equations.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.