2096 search results - page 221 / 420 » Evolutionary multiobjective optimization |
128
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
117
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
103
Voted
CORR
2004
Springer
15 years 2 months ago
2004
Springer
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
147
Voted
GECCO
2009
Springer
15 years 12 days ago
2009
Springer
We describe the first steps in the adoption of Shape Grammars with Grammatical Evolution for application in Evolutionary Design. Combining the concepts of Shape Grammars and Genet...
134
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....