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HAIS
2009
Springer
14 years 2 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
14 years 3 months ago
Investigating the success of spatial coevolution
We investigate the results of coevolution of spatially distributed populations. In particular, we describe work in which a simple function approximation problem is used to compare...
Nathan Williams, Melanie Mitchell
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 2 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 2 months ago
BBOB-benchmarking the generalized generation gap model with parent centric crossover
The generalized generation gap (G3) model of an evolutionary algorithm equipped with the parent centric crossover (PCX) is tested on the BBOB 2009 benchmark testbed. To improve it...
Petr Posik
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 1 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati