Title :
Diversity assessment of Pareto optimal solution sets: an entropy approach
Author :
Farhang-Mehr, Ali ; Azarm, Shapour
Author_Institution :
Dept. of Mech. Eng., Maryland Univ., College Park, MD, USA
Abstract :
An entropy-based metric is presented to assess the diversity of solutions in a multi-objective optimization technique. This metric quantifies the ´goodness´ of a solution set in terms of its distribution quality over the Pareto-optimal frontier. As a demonstration via a three-objective test example, the entropy metric is used as a means of comparing two multi-objective genetic algorithms
Keywords :
entropy; genetic algorithms; Pareto optimal solution sets; distribution quality; diversity assessment; entropy-based metric; multi-objective genetic algorithms; multi-objective optimization technique; Educational institutions; Entropy; Genetic algorithms; Mechanical engineering; Quality assessment; Testing; Visualization;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007015
