A Multi-Objective Memetic Algorithm Based on Chaos Optimization
In this research, a new Memetic Algorithm (MA) for Multi-Objective (MO) optimization is proposed, which combines ability of chaos optimization algorithm is proposed based on the ergodic and stochastic properties of the chaos variables, A new MA updating strategy is proposed based upon the concept to deal with the problem of premature convergence and diversity maintenance within the chromosome. The proposed features are examined to show effects in MO optimization. The comparative study shows the effectiveness of the proposed MA, which produces solution sets that are highly competitive in terms of convergence Measurement and Spread Measurement.
Multi-Objective Memetic algorithm Chaos Optimization Chaos Mutation
Paranya Ammaruekarat Phayung Meesad
Department of Information Technology, King Mongkuts University of Technology North Bangkok, Bangkok Department of Teacher Training in Electrical Engineering, King ongkuts University of Technology Nor
国际会议
合肥
英文
725-729
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）