454 search results - page 19 / 91 » On improving approximate solutions by evolutionary algorithm... |
146
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DMIN
2006
15 years 2 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
107
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NECO
2008
15 years 1 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
107
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EUROCAST
2009
Springer
15 years 8 months ago
2009
Springer
In this paper we present new local search algorithms for the Probabilistic Traveling Salesman Problem (PTSP) using sampling and ad-hoc approximation. These algorithms improve both...
100
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
118
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...