Particle swarm optimization for function optimization in noisy environment

DOI10.1016/j.amc.2006.01.066zbMath1105.65069OpenAlexW2032952036MaRDI QIDQ856065

Ling Wang, Bo Liu, Hui Pan

Publication date: 7 December 2006

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

Full work available at URL: https://doi.org/10.1016/j.amc.2006.01.066

zbMATH Keywords

hypothesis testnumerical simulationsparticle swarm optimizationfunction optimizationnoisy environmentoptimal computing budget allocationcomparisons demonstrate

Mathematics Subject Classification ID

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

Related Items (5)

Evolutionary optimization: pitfalls and booby traps ⋮ A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images ⋮ An orthogonal-array-based particle swarm optimizer with nonlinear time-varying evolution ⋮ Noise analysis compact differential evolution ⋮ Optimal budget allocation policy for tabu search in stochastic simulation optimization

Cites Work

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• Ordinal optimization of DEDS
• Convergence properties of ordinal comparison in the simulation of discrete event dynamic systems
• Simulation budget allocation for further enhancing the efficiency of ordinal optimization
• Explanation of goal softening in ordinal optimization
• Advances in Neural Networks – ISNN 2005

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