A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem

Developing a dynamic neighborhood structure for an adaptive hybrid simulated annealing – tabu search algorithm to solve the symmetrical traveling salesman problem

(2016) Yu Lin et al.   APPLIED SOFT COMPUTING

A hierarchic approach based on swarm intelligence to solve the traveling salesman problem

(2015) Mesut GÜNDÜZ et al.   Turkish Journal of Electrical Engineering and Computer Sciences

The hybrid genetic algorithm with two local optimization strategies for traveling salesman problem

(2014) Yong Wang   COMPUTERS & INDUSTRIAL ENGINEERING

Hybrid Max–Min ant system with four vertices and three lines inequality for traveling salesman problem

(2014) Wang Yong   SOFT COMPUTING

A High-Performance Genetic Algorithm: Using Traveling Salesman Problem as a Case

(2014) Chun-Wei Tsai et al.   TheScientificWorldJOURNAL

Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search

(2011) Xiutang Geng et al.   APPLIED SOFT COMPUTING

Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques

(2011) Shyi-Ming Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Solving the traveling salesman problem using cooperative genetic ant systems

(2011) Gaifang Dong et al.   EXPERT SYSTEMS WITH APPLICATIONS

The effects of two new crossover operators on genetic algorithm performance

(2010) Mustafa Kaya   APPLIED SOFT COMPUTING

Study of genetic algorithm with reinforcement learning to solve the TSP

(2008) Fei Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A self-organizing neural network using ideas from the immune system to solve the traveling salesman problem

(2008) Thiago A.S. Masutti et al.   INFORMATION SCIENCES

A memetic neural network for the Euclidean traveling salesman problem

(2008) Jean-Charles Créput et al.   NEUROCOMPUTING

Solving traveling salesman problems using generalized chromosome genetic algorithm

(2008) Jinhui Yang et al.   Progress in Natural Science-Materials International