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EOR
2006
118views more  EOR 2006»
13 years 4 months ago
A random-key genetic algorithm for the generalized traveling salesman problem
The Generalized Traveling Salesman Problem is a variation of the well known Traveling Salesman Problem in which the set of nodes is divided into clusters; the objective is to find...
Lawrence V. Snyder, Mark S. Daskin
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke
EVOW
2005
Springer
13 years 10 months ago
Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem
This paper presents the Scatter Search Particle Filter (SSPF) algorithm and its application to the Dynamic Travelling Salesman Problem (DTSP). SSPF combines sequential estimation a...
Juan José Pantrigo, Abraham Duarte, Á...
PPSN
2004
Springer
13 years 10 months ago
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Abstract. This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps con...
Jano I. van Hemert, Neil Urquhart
CEC
2003
IEEE
13 years 10 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...