3049 search results - page 101 / 610 » On the Convergence of Bound Optimization Algorithms |
140
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CIA
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
140
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CEC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
122
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AEI
2005
15 years 4 months ago
2005
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
146
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EMO
2001
Springer
15 years 9 months ago
2001
Springer
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
150
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...