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Intelligent Particle Swarm Optimization Using Q-LearningIntelligent Particle Swarm Optimization Using Q-Learning

An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied

A solution of synthesized optimal control problem for interaction of robots by evolutionary computations problem a particle swarm optimization was applied. In experiment the control object is a pair of robots

Comparative Analysis of Evolutionary Algorithms for the Problem of Parametric Optimization of PID Controllers evolution method, variational genetic algorithm, particle swarm optimization algorithm, bat-inspired method

METHODS ANALYSIS OF “LOCATION OF BASE STATIONS IN MOBILE NETWORKS” USING PSO ALGORITHM the possibility of using PSO (particle swarm algorithms) to find solutions for optimal placement of base stations

Parallelizing by Smart Tiling for parallelizing programs, the authors propose to use Discrete Particle Swarm Optimization Method

A Comparison of Evolutionary Algorithms and Gradient-based Methods for the Optimal Control Problem control problem is carried out. The problem is solved separately by Particle swarm optimization, Grey wolf

New approach of decomposition of complex spectral contours based on particles swarm optimization of particle swarm optimization was used for mathematical treatment of spectral contours. It was shown

Particle swarm optimization in the problem of decomposing two-component spectral profilesAn approach based on stochastic particle swarm optimization is proposed for the mathematical

Study of the Practical Convergence of Evolutionary Algorithms for the Optimal Program Control of a Wheeled Robot) algorithm, the particle swarm optimization (PSO), the bat-inspired algorithm (BIA), the bees algorithm (BA

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