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» Improving Evolutionary Algorithms with Scouting
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CEC
2008
IEEE
14 years 2 months ago
Direction matters in high-dimensional optimisation
Abstract— Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have be...
Cara MacNish, Xin Yao
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 1 months ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu
IPPS
2006
IEEE
14 years 2 months ago
Parallel implementation of evolutionary strategies on heterogeneous clusters with load balancing
This paper presents a load balancing algorithm for a parallel implementation of an evolutionary strategy on heterogeneous clusters. Evolutionary strategies can efficiency solve a ...
Juan Francisco Garamendi, José Luis Bosque
CEC
2009
IEEE
14 years 2 months 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
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
Q. Tuan Pham