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» Applying particle swarm optimization to software testing
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124
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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 8 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
CEC
2008
IEEE
15 years 10 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
141
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 8 months ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
134
Voted
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
15 years 8 months ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
128
Voted
ROBIO
2006
IEEE
208views Robotics» more  ROBIO 2006»
15 years 9 months ago
Stiffness Optimization of a 3-DOF Parallel Kinematic Machine Using Particle Swarm Optimization
Abstract— In this paper, the architectural parameters optimization of a three-prismatic-universal-universal (3-PUU) parallel kinematic machine (PKM) with three translational degr...
Qingsong Xu, Yangmin Li