On the Convergence of a Population-Based Global Optimization Algorithm
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DOI: 10.1007/s10898-004-8270-3
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- L. Ingber, 1993. "Simulated annealing: Practice versus theory," Lester Ingber Papers 93sa, Lester Ingber.
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- Shuo Ouyang & Jianzhong Zhou & Chunlong Li & Xiang Liao & Hao Wang, 2015. "Optimal Design for Flood Limit Water Level of Cascade Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 445-457, January.
- Thomas Weise & Yuezhong Wu & Raymond Chiong & Ke Tang & Jörg Lässig, 2016. "Global versus local search: the impact of population sizes on evolutionary algorithm performance," Journal of Global Optimization, Springer, vol. 66(3), pages 511-534, November.
- Qingqing Li & Shuo Ouyang, 2015. "Research on multi-objective joint optimal flood control model for cascade reservoirs in river basin system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 2097-2115, July.
- Godinho, Pedro & Branco, Fernando G., 2012. "Adaptive policies for multi-mode project scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 216(3), pages 553-562.
- Rommel G. Regis, 2016. "On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization," Journal of Optimization Theory and Applications, Springer, vol. 170(3), pages 932-959, September.
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Keywords
stochastic search method; population-based algorithm; convergence with probability one;All these keywords.
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