Computational geometry: an introduction
Computational geometry: an introduction
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
The guilty net for the traveling salesman problem
Computers and Operations Research - Special issue on neural networks and operations research
Applying evolutionary programming to selected traveling salesman problems
Cybernetics and Systems
Polynomial time approximation schemes for Euclidean traveling salesman and other geometric problems
Journal of the ACM (JACM)
MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
Optimal Expected-Time Algorithms for Closest Point Problems
ACM Transactions on Mathematical Software (TOMS)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Performance of Various Computers Using Standard Linear Equations Software
Performance of Various Computers Using Standard Linear Equations Software
A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem
Journal of Heuristics
Local search study of honeycomb clustering problem for cellular planning
International Journal of Mobile Network Design and Innovation
Automatic mesh generation for mobile network dimensioning using evolutionary approach
IEEE Transactions on Evolutionary Computation
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new adaptive multi-start technique for combinatorial global optimizations
Operations Research Letters
An argument for abandoning the travelling salesman problem as a neural-network benchmark
IEEE Transactions on Neural Networks
Competitive Hopfield network combined with estimation of distribution for maximum diversity problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Expert Systems with Applications: An International Journal
Approximate solution of the multiple watchman routes problem with restricted visibility range
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
A modified inver-over operator for the traveling salesman problem
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Computers & Mathematics with Applications
Self-organizing maps in population based metaheuristic to the dynamic vehicle routing problem
Journal of Combinatorial Optimization
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We study the hybridization of the self-organizing map (SOM) in an evolutionary algorithm to solve the Euclidean traveling salesman problem (TSP). The evolutionary dynamics consist of interleaving the SOM execution with a mapping operator, a fitness evaluation and a selection operator. SOM and mapping operators have a similar structure based on closest point findings and simple moves performed in the plane. We evaluate the approach on standard TSP test problems and show that it performs better, with respect to solution quality and/or computation time, than other neural network approaches given previously in the literature. Experiments are conducted on 91 publicly available TSP instances with up to 85900 cities.