454 search results - page 15 / 91 » On improving approximate solutions by evolutionary algorithm... |
141
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
108
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IEEEICCI
2003
IEEE
15 years 6 months ago
2003
IEEE
An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the grou...
103
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EMO
2005
Springer
15 years 7 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
124
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CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
123
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
d Abstract) Sara Ahmadian∗ Chaitanya Swamy∗ We consider the lower-bounded facility location (LBFL) problem (also sometimes called load-balanced facility location), which is a ...