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178
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
This paper presents an improved version of a simple evolution strategy (SES) to solve global nonlinear optimization problems. As its previous version, the approach does not require...
163
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
158
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CORR
2002
Springer
15 years 6 months ago
2002
Springer
An algorithm M is described that solves any well-defined problem p as quickly as the fastest algorithm computing a solution to p, save for a factor of 5 and loworder additive term...
160
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MP
1998
15 years 6 months ago
1998
Various algorithms can compute approximate feasible points or approximate solutions to equality and bound constrained optimization problems. In exhaustive search algorithms for gl...
174
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TPDS
2002
15 years 6 months ago
2002
Speculative prefetching has been proposed to improve the response time of network access. Previous studies in speculative prefetching focus on building and evaluating access models...