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CEC
2009
IEEE
14 years 1 days ago
Evolutionary programming with ensemble of explicit memories for dynamic optimization
—This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recen...
Ling Yu, Ponnuthurai N. Suganthan
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 9 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
IKE
2004
13 years 6 months ago
Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms
This paper presents one target of the Evo-business project (2003-2005, conducted at University of Luxembourg) which aims at applying evolutionary algorithms (and more precisely lo...
Grégoire Danoy, Pascal Bouvry, Franciszek S...
CEC
2005
IEEE
13 years 11 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
13 years 12 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...