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CEC
2008
IEEE
13 years 11 months ago
Differential evolution for discrete optimization: An experimental study on Combinatorial Auction problems
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
Jingqiao Zhang, Viswanath Avasarala, Arthur C. San...
EVOW
2010
Springer
13 years 8 months ago
Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem
Optimization problems are more and more complex and their resource requirements are ever increasing. Although metaheuristics allow to significantly reduce the computational complex...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
TSMC
2002
142views more  TSMC 2002»
13 years 4 months ago
Dynamics of local search heuristics for the traveling salesman problem
This paper experimentally investigates the dynamical behavior of a search process in a local heuristic search system for a combinatorial optimization problem. Or-opt heuristic algo...
Weiqi Li, Bahram Alidaee
SLS
2007
Springer
120views Algorithms» more  SLS 2007»
13 years 10 months ago
A Study of Neighborhood Structures for the Multiple Depot Vehicle Scheduling Problem
This paper introduces the ”block moves” neighborhood for the Multiple Depot Vehicle Scheduling Problem. Experimental studies are carried out on a set of benchmark instances to ...
Benoît Laurent, Jin-Kao Hao
AAAI
2000
13 years 6 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang