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Monte-Carlo Swarm Policy Search
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On-line energy management for HEV based on particle swarm optimization
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Contribution to hybrid heuristic optimization methods : Distribution and appl...
The work presented in this PhD thesis contibutes to a new method for a modified particle swarm optimization algorith (MPSO) combined with a simulating annealing... -
Improvement of particle swarm optimization algorithms : applications in image...
The successful resolution of a difficult optimization problem, comprising a large number of sub optimal solutions, often justifies the use of powerful metaheuristics.... -
Optimal design of switched reluctance motors for light electric traction appl...
The interest for the electric traction applications has been growing in the last few years. The optimal design of the electric motor and of the inverter that powers it... -
Characterization, identification and optimization of complex mechanical syste...
The design of complex systems, especially of embedded complex micro systems, causes problems such as component integration, power consumption, reliability,... -
Hybridizing evolutionary strategies with continuation methods for solving mul...
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Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggr...
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Template based black-box optimization of dynamic neural fields
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Particle Swarm Optimization for Mobility Load Balancing SON in LTE Networks
This paper presents a self-optimizing solution for Mobility Load Balancing (MLB). The MLB-SON is performed in two phases. In the first, a MLB controller is designed... -
Application of artificial neural networks and particle swarm optimization for...
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Particle swarm optimization : adaptation of tribes to the multiobjective opti...
Meta-heuristics are recognized to be successful to deal with multiobjective optimization problems but still with limited success in engineering fields. In an...
