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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 11 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
AI
2006
Springer
13 years 7 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
AEI
2004
150views more  AEI 2004»
13 years 7 months ago
Ant colony optimization techniques for the vehicle routing problem
This research applies the meta-heuristic method of ant colony optimization (ACO) to an established set of vehicle routing problems (VRP). The procedure simulates the decision-maki...
John E. Bell, Patrick R. McMullen
SAC
2008
ACM
13 years 6 months ago
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper ...
Paulo Vinicius Wolski Radtke, Robert Sabourin, Ton...
CEC
2010
IEEE
12 years 11 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...