397 search results - page 26 / 80 » An empirical study of optimizations in YOGI |
GECCO
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
IJON
2000
13 years 7 months ago
2000
Time delays are ubiquitous in the nervous system. Empirical "ndings suggest that time delays are adapted when considering the synchronous activity of neurons. We introduce a ...
HEURISTICS
2002
13 years 7 months ago
2002
A GRASP (greedy randomized adaptive search procedure) is a multi-start metaheuristic for combinatorial optimization. We study the probability distributions of solution time to a su...
EC
1998
13 years 7 months ago
1998
This paper analyzes different representations for permutation flowshop problems. This is done using forma analysis to assess the quality of these representations with respect to m...
ICONIP
2009
13 years 5 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...