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» Evolutionary multiobjective optimization
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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 7 months ago
Application of a simple binary genetic algorithm to a noiseless testbed benchmark
One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasin...
Miguel Nicolau
88
Voted
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 5 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
Mike Preuss
105
Voted
EVOW
2010
Springer
15 years 7 months ago
Memory Design for Constrained Dynamic Optimization Problems
A proposal for a memory design is given that is suitable for solving constrained dynamic optimization problems by an evolutionary m. Based on ideas from abstract memory, two scheme...
Hendrik Richter
ANTSW
2008
Springer
15 years 4 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 8 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...