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134
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GECCO
2006
Springer
287views Optimization» more  GECCO 2006»
15 years 6 months ago
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
119
Voted
CEC
2007
IEEE
15 years 8 months ago
An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem
—Genetic Algorithms (GAs) have a good potential of solving the Gate Assignment Problem (GAP) at airport terminals, and the design of feasible and efficient evolutionary operators...
Xiao-Bing Hu, Ezequiel A. Di Paolo
95
Voted
ISAAC
2001
Springer
112views Algorithms» more  ISAAC 2001»
15 years 6 months ago
On the Complexity of Train Assignment Problems
We consider a problem faced by train companies: How can trains be assigned to satisfy scheduled routes in a cost efficient way? Currently, many railway companies create solutions b...
Thomas Erlebach, Martin Gantenbein, Daniel Hü...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 7 months ago
The enhanced evolutionary tabu search and its application to the quadratic assignment problem
We describe the Enhanced Evolutionary Tabu Search (EE-TS) local search technique. The EE-TS metaheuristic technique combines Reactive Tabu Search with evolutionary computing eleme...
John F. McLoughlin III, Walter Cedeño
CEC
2010
IEEE
15 years 3 months ago
Local Optima Networks of the Quadratic Assignment Problem
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Fabio Daolio, Sébastien Vérel, Gabri...