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EMO
2005
Springer
123views Optimization» more  EMO 2005»
13 years 10 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
13 years 10 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
ICANNGA
2007
Springer
134views Algorithms» more  ICANNGA 2007»
13 years 6 months ago
Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
Significant improvement over a patented lens design is achieved using multi-objective evolutionary optimization. A comparison of the results obtained from NSGA2 and ε-MOEA is done...
Shaine Joseph, Hyung W. Kang, Uday K. Chakraborty
PPSN
2004
Springer
13 years 10 months ago
A Visual Demonstration of Convergence Properties of Cooperative Coevolution
Abstract. We introduce a model for cooperative coevolutionary algorithms (CCEAs) using partial mixing, which allows us to compute the expected long-run convergence of such algorith...
Liviu Panait, R. Paul Wiegand, Sean Luke
AE
2009
Springer
13 years 5 months ago
Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three
Abstract. This paper presents a new Memetic Algorithm (MA) designed to compute near-optimal solutions for the covering array construction problem. It incorporates several distingui...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez