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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 21 days ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
14 years 4 days ago
Parameter approximate dynamic optimization for PSO systems
— This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based o...
Qi Kang, Lei Wang, Derong Liu, Qidi Wu
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 3 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
ISICA
2007
Springer
14 years 3 months ago
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui...