16088 search results - page 310 / 3218 » A Mean-Variance Optimization algorithm |
168
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
197
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
161
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EAAI
2008
15 years 7 months ago
2008
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
176
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COR
2006
15 years 7 months ago
2006
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
187
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ROBOCUP
2005
Springer
16 years 15 days ago
2005
Springer
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...