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Optimized scheduling of integrated energy systems considering waste-to-power plants and advanced adiabatic air compression energy storage machines. [PDF]

Sci Rep
Wang W, Liu M, Zhao H, Wu Y, Tian Y.
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The gregarious particle swarm optimizer (G-PSO)

Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the help of only social knowledge. To avoid premature convergence of the swarm, the particles are re-initialized with a random velocity when stuck at a local minimum.
Battiti, Roberto, Pasupuleti, Srinivas
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Particle swarm optimization (PSO). A tutorial

Chemometrics and Intelligent Laboratory Systems, 2015
Abstract Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the collective behavior of social animals. In particle swarm optimization (PSO) the set of candidate solutions to the optimization problem is defined as a swarm of particles which may flow through the parameter space defining trajectories which are ...
MARINI, Federico, Walczak, Beata
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Parallelizing a Modified Particle Swarm Optimizer (PSO)

Advanced Materials Research, 2010
Recently, a modified Particle Swarm Optimizer (MLPSO) has been succeeded in solving truss topological optimization problems and competitive results are obtained. Since this optimizer belongs to evolutionary algorithm and plagued by high computational cost as measured by execution time, in order to reduce its execution time for solving large complex ...
Bin Yang, Qi Lin Zhang
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Dynamic-PSO: An improved particle swarm optimizer

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
In this paper, a variant of particle swarm optimization (PSO) is presented to handle the problem of stagnation encounters in PSO which may lead to get it trapped in local optima and premature convergence particularly in multimodal problems. The proposed scheme Dynamic-PSO (DPSO) does not disturb the fast convergence characteristics of PSO by keeping ...
Nitin Saxena, Ashish Tripathi, K.K. Mishra, A.K. Misra   +3 more
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Robotic applications with Particle Swarm Optimization (PSO)

2013 International Conference on Control, Decision and Information Technologies (CoDIT), 2013
Swarm Intelligence (SI) is inspired from the study of colonies of swarms in Nature. This paper introduces a study originated on swarm intelligence, Particle Swarm Optimization (PSO). Three case studies on one link arm, a SCARA robot and a electrohydraulic robot - are presented on both simulation and experimental base to show effectiveness and ...
M. Taylan Das, L. Canan Dulger, G. Sena Das   +2 more
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θ-PSO: a new strategy of particle swarm optimization

Journal of Zhejiang University-SCIENCE A, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhong, Wei-Min, Li, Shao-Jun, Qian, Feng
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Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)

Applied Mechanics and Materials, 2007
Cutting parameters play an essential role in the economics of machining. In this paper, particle swarm optimization (PSO), a novel optimization algorithm for cutting parameters optimization (CPO), was discussed comprehensively. First, the fundamental principle of PSO was introduced; then, the algorithm for PSO application in cutting parameters ...
J.G. Li, Y.X. Yao, Dong Gao, Chang Qing Liu, Zhe Jun Yuan   +4 more
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