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JAR
2000
149views more  JAR 2000»
13 years 7 months ago
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems
In this paper, we show how Guided Local Search (GLS) can be applied to the SAT problem and show how the resulting algorithm can be naturally extended to solve the weighted MAX-SAT ...
Patrick Mills, Edward P. K. Tsang
CEC
2011
IEEE
12 years 7 months ago
Oppositional biogeography-based optimization for combinatorial problems
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Mehmet Ergezer, Dan Simon
COR
2008
160views more  COR 2008»
13 years 6 months ago
Formulations and exact algorithms for the vehicle routing problem with time windows
In this paper we review the exact algorithms proposed in the last three decades for the solution of the vehicle routing problem with time windows (VRPTW). The exact algorithms for...
Brian Kallehauge
CORR
2010
Springer
99views Education» more  CORR 2010»
13 years 8 months ago
Locating phase transitions in computationally hard problems
We discuss how phase-transitions may be detected in computationally hard problems in the context of anytime algorithms. Treating the computational time, value and utility functions...
B. Ashok, T. K. Patra
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...