456 search results - page 7 / 92 » Comparison of Multiobjective Evolutionary Algorithms: Empiri... |
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
101
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GECCO
2004
Springer
15 years 5 months ago
2004
Springer
This paper explores some simple evolutionary strategies for an elitist, steady-state Pareto-based multi-objective evolutionary algorithm. The experimental framework is based on the...
101
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CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
— Several multi-objective evolutionary algorithms compare the hypervolumes of different sets of points during their operation, usually for selection or archiving purposes. The ba...