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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 3 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
NETWORKS
2008
13 years 9 months ago
Lagrangian relaxation and enumeration for solving constrained shortest-path problems
Recently published research indicates that a vertex-labeling algorithm based on dynamic-programming concepts is the most efficient procedure available for solving constrained shor...
W. Matthew Carlyle, Johannes O. Royset, R. Kevin W...
ATMOS
2007
183views Optimization» more  ATMOS 2007»
13 years 11 months ago
Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning
This paper deals with large-scale crew scheduling problems arising at the Dutch railway operator, Netherlands Railways (NS). We discuss several methods to partition large instances...
Erwin J. W. Abbink, Joel Van't Wout, Dennis Huisma...
EOR
2007
70views more  EOR 2007»
13 years 9 months ago
Solving the maximum edge weight clique problem via unconstrained quadratic programming
The unconstrained quadratic binary program (UQP) is proving to be a successful modeling and solution framework for a variety of combinatorial optimization problems. Experience rep...
Bahram Alidaee, Fred Glover, Gary A. Kochenberger,...
GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
14 years 1 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa