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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 10 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 10 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolving petri nets to represent metabolic pathways
Given concentrations of metabolites over a sequence of time steps, the metabolic pathway prediction problem seeks a set of reactions and rate constants for them that could yield t...
Jeremiah Nummela, Bryant A. Julstrom
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 10 months ago
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
In this paper we present a genetic algorithm applied to the problem of mission planning for Joint Suppression of Enemy Air Defenses (JSEAD) in support of air strike operations. Th...
Jeffrey P. Ridder, Jason C. HandUber
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