Hybrid evolutionary optimization algorithm MPSO-SA
Author:
Publisher
EDP Sciences
Subject
Control and Optimization,Modelling and Simulation
Link
http://www.ijsmdo.org/10.1051/ijsmdo/2010004/pdf
Reference22 articles.
1. J. Behnamian, S.M.T. Fatemi Ghomi.Development of a PSO-SA hybrid metaheuristic for a new comprehensive regression model to time-series forecasting, Expert Systems with Applications, 974-984, (2010).
2. V. Savsani, R.V. Rao, D.P. Vakharia.Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms, Mechanism and Machine Theory, 531-541, (2010).
3. M.M. Ali, M.N. Gabere.A simulated annealing driven multi-start algorithm for bound constrained global optimization, Journal of Computational and Applied Mathematics, 2661-2674, (2010).
4. T. Niknam, B. Amiri, J. Olamaei, A. Arefi.An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering, Journal of Zhejiang University SCIENCE, 512-519, (2009).
5. S. Sitarz.Ant algorithms and simulated annealing for multicriteria dynamic programming, Computers & Operations Research, 433-441, (2009).
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