NDLI: Average rank domination relation for NSGAII and SMPSO algorithms for many-objective optimization

Content Provider	IEEE Xplore Digital Library
Author	Kachroudi, S. Grossard, M.
Copyright Year	2010
Description	Author affiliation: Interactive Robotics Laboratory, CEA, LIST, Fontenay aux Roses, F- 92265, France (Kachroudi, S.; Grossard, M.)
Abstract	The paper introduces the average rank dominance relation that substitutes the Pareto domination relation for many objective optimization. The relation is based on the performances of the solutions in each objective and calculated as the average rank of the solutions on each objective. In addition, the paper studies substituting the Pareto domination relation by this domination relation in the well known multi-objective algorithms NSGAII and SMPSO respectively based on the genetic and particle swarm optimization. The new algorithms are tested on the first four problems of DTLZ family and compared to the original algorithms via new performance indicators. The indicators are constructed so that they measure convergence and spread of the solutions and can be easily computed for high objectives number (≫ 3).
Starting Page	19
Ending Page	24
File Size	217593
Page Count	6
File Format	PDF
ISBN	9781424473779
e-ISBN	9781424473762
DOI	10.1109/NABIC.2010.5716287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pareto Dominance Average Rank Dominance Lead Genetic Algorithms Equations Particle Swarm Optimization Many-Objective Optimization
Content Type	Text
Resource Type	Article

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