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JFPLC
2003
15 years 3 months ago
Une approche hybride pour l'optimisation multi-objectif sous contraintes
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
Vincent Barichard, Jin-Kao Hao
CEC
2011
IEEE
14 years 1 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...
PPSN
2004
Springer
15 years 7 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
CEC
2009
IEEE
15 years 6 months ago
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen...
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 5 months ago
Multi-objective test problems, linkages, and evolutionary methodologies
Existing test problems for multi-objective optimization are criticized for not having adequate linkages among variables. In most problems, the Pareto-optimal solutions correspond ...
Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen