Title :
A Multi-objective Optimization Evolutionary Algorithm Addressing Diversity Maintenance
Author :
Shen, Xiaoning ; Zhang, Min ; Li, Tao
Author_Institution :
Sch. of Inf. & Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
A multi-objective evolutionary algorithm keeping diversity of the population is proposed. The algorithm makes use of a metric based on entropy to measure the diversity of the population. The evolving state of the current population is associated with the running mechanism of the algorithm by the diversity metric, and several strategies are designed to enhance the extent of exploration of the algorithm. Simulation results indicate that the proposed algorithm has good performance of convergence and distribution.
Keywords :
entropy; evolutionary computation; optimisation; diversity maintenance; entropy; multiobjective optimization evolutionary algorithm; simulation result; Algorithm design and analysis; Approximation algorithms; Blindness; Character generation; Convergence; Diversity methods; Entropy; Evolutionary computation; Information science; Nearest neighbor searches; diversity; evolutionary algorithm; multi-objective optimization;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.28
