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CEC
2007
IEEE
15 years 10 months ago
Differential evolution for high-dimensional function optimization
— Most reported studies on differential evolution (DE) are obtained using low-dimensional problems, e.g., smaller than 100, which are relatively small for many real-world problem...
Zhenyu Yang, Ke Tang, Xin Yao
ICANN
2010
Springer
15 years 4 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
CEC
2007
IEEE
15 years 10 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Thomas Röfer
CEC
2009
IEEE
15 years 10 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao