534 search results - page 49 / 107 » Expert-driven genetic algorithms for simulating evaluation f... |
132
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CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
137
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
148
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
118
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
140
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CEC
2008
IEEE
15 years 6 months ago
2008
IEEE
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...