A Multi-Objective Artificial Bee Colony for Optimizing Multi-Objective Problems
This work proposes a multi-objective artificial bee colony (MOABC) for optimizing problems with multiple objectives. We have adapted the original Artificial Bee Colony (ABC) algorithm to multi objective problems with a grid-based approach for maintaining and adaptively assessing the Pareto front. The Pareto set is used to control the flying behaviours of the individuals and structuring the bee colony. The proposed algorithm was evaluated upon numerical benchmark problems. Our experimental results indicate that the proposed approach is highly competitive compared to other algorithms considered in this work.
artificial bee colony multi-objective optimization
Ramin Hedayatzadeh Bahareh Hasanizadeh Reza Akbari Koorush Ziarati
Department of Information Technology, ShirazUniversity of TechnologyShiraz, Iran Department of Computer Science and Engineering,Shiraz UniversityShiraz, Iran Department of Computer Science and Engineering, Shiraz University Shiraz, Iran
国际会议
成都
英文
1-5
2010-08-20(万方平台首次上网日期,不代表论文的发表时间)