Improved particle swarm algorithms for global optimization

DOI10.1016/j.amc.2007.06.020zbMath1135.65327OpenAlexW2108270451WikidataQ57932041 ScholiaQ57932041MaRDI QIDQ2479121

Yanyan Li

Publication date: 26 March 2008

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.06.020

zbMATH Keywords

global optimizationconvergencecomparison of methodsnumerical examplesdifferential evolution algorithmparticle swarm optimization algorithmpopulation set

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Related Items (16)

Metric-topological–evolutionary optimization ⋮ Swarm/flock optimization algorithms as continuous dynamic systems ⋮ A simulated annealing driven multi-start algorithm for bound constrained global optimization ⋮ Global optimization algorithm for sum of generalized polynomial ratios problem ⋮ Theoretical and practical convergence of a self-adaptive penalty algorithm for constrained global optimization ⋮ Global optimization using a genetic algorithm with hierarchically structured population ⋮ Improved particle swarm algorithm for hydrological parameter optimization ⋮ Electric circuits performing the swarm optimization ⋮ Shrinking hypersphere based trajectory of particles in PSO ⋮ Quantum-inspired space search algorithm (QSSA) for global numerical optimization ⋮ A derivative-free variant called DFSA of Dekkers and Aarts' continuous simulated annealing algorithm ⋮ \(CFSO^{3}\): A new supervised swarm-based optimization algorithm ⋮ A cyclical non-linear inertia-weighted teaching-learning-based optimization algorithm ⋮ Hybridization of particle swarm optimization with quadratic approximation ⋮ Chaotic catfish particle swarm optimization for solving global numerical optimization problems ⋮ Convergence analysis of standard particle swarm optimization algorithm and its improvement

Uses Software

• Genocop

Cites Work

• A study of global optimization using particle swarms
• Recent approaches to global optimization problems through particle Swarm optimization
• A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
• An improved GA and a novel PSO-GA-based hybrid algorithm
• Differential evolution and particle swarm optimisation in partitional clustering
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Population set-based global optimization algorithms: some modifications and numerical studies
• Improved particle swarm optimization combined with chaos
• A numerical study of some modified differential evolution algorithms
• Simple mathematical models with very complicated dynamics
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