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CEC
2009
IEEE
14 years 4 months ago
An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover
Abstract— This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II[2]. A new linear breeding operator with lower-dimensional crossover an...
Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulo...
HIS
2008
13 years 10 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
EC
2007
120views ECommerce» more  EC 2007»
13 years 9 months ago
On Replacement Strategies in Steady State Evolutionary Algorithms
Steady-State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This ...
Jim Smith
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions
To obtain the expertise to correctly perform minimally– invasive vascular interventions thorough training is required. Training using simulation systems are increasingly becomin...
Peter A. N. Bosman, Tanja Alderliesten
PATAT
2004
Springer
141views Education» more  PATAT 2004»
14 years 2 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...