1595 search results - page 4 / 319 » An Evolutionary Local Search Algorithm for the Satisfiabilit... |
PATAT
2004
Springer
13 years 10 months ago
2004
Springer
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
AAAI
1998
13 years 6 months ago
1998
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...