Title :
An Experimental Comparison of Multiobjective Algorithms: NSGA-II and OMOPSO
Author :
Godinez, Adriana Cortés ; Espinosa, Luis Ernesto Mancilla ; Montes, Efrén Mezura
Author_Institution :
Inst. Tecnol. de Leon, Guanajuato, Mexico
fDate :
Sept. 28 2010-Oct. 1 2010
Abstract :
The optimization of multi objective problems is currently an area of important research and development. The importance of type of problems has allowed the development of multiple metaheuristics for their solution. To determine which multi objective metaheuristic has the best performance with respect to a problem, in this article an experimental comparison between two of them: Sorting Genetic Algorithm No dominated-II (NSGA-II) and Multi Objective Particle Swarm Optimization (MOPS) using ZDT test functions is made. The results obtained by both algorithms are compared and analyzed based on different performance metrics that evaluate both the dispersion of the solutions on the Pareto front, and its proximity to it.
Keywords :
Pareto optimisation; genetic algorithms; particle swarm optimisation; research and development; MOPS; NSGA-II; Pareto front; ZDT test functions; metaheuristics; multi objective particle swarm optimization; research and development; sorting genetic algorithm no dominated-II; Erbium; Lead; Measurement; Optimization; Particle swarm optimization; Sorting; NSGA-II; OMOPSO; comparative study; multiobjective optimization;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
Conference_Location :
Morelos
Print_ISBN :
978-1-4244-8149-1
DOI :
10.1109/CERMA.2010.13
