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» Generalized Traveling Salesman Problem Reduction Algorithms
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125
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AI
2006
Springer
15 years 2 months ago
Cut-and-solve: An iterative search strategy for combinatorial optimization problems
Branch-and-bound and branch-and-cut use search trees to identify optimal solutions to combinatorial optimization problems. In this paper, we introduce an iterative search strategy...
Sharlee Climer, Weixiong Zhang
115
Voted
EMO
2001
Springer
107views Optimization» more  EMO 2001»
15 years 7 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
200
Voted
AINA
2004
IEEE
15 years 6 months ago
A Personal Tourism Navigation System to Support Traveling Multiple Destinations with Time Restrictions
In this paper, we propose a personal navigation system (called PNS) which navigates a tourist through multiple destinations efficiently. In our PNS, a tourist can specify multiple...
Atsushi Maruyama, Naoki Shibata, Yoshihiro Murata,...
103
Voted
COMPSAC
2004
IEEE
15 years 6 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
WSC
2008
15 years 5 months ago
The improved sweep metaheuristic for simulation optimization and application to job shop scheduling
We present an improved sweep metaheuristic for discrete event simulation optimization. The sweep algorithm is a tree search similar to beam search. The basic idea is to run a limi...
George Jiri Mejtsky