A novel ODV crossover operator-based genetic algorithms for traveling salesman problem

The genetic algorithm is a popular meta-heuristic optimization technique whose performance depends on the quality of the initial population and the crossover operator used to manipulate the individuals to obtain the final optimal solution. It is evident that when similar principle is followed for po...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2020-09, Vol.24 (17), p.12855-12885
Main Authors: Victer Paul, P., Ganeshkumar, C., Dhavachelvan, P., Baskaran, R.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Cities
Combinatorial analysis
Computational Intelligence
Control
Convergence
Crossovers
Engineering
Genes
Genetic algorithms
Genetic engineering
Heuristic methods
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Optimization techniques
Robotics
Test stands
Traveling salesman problem
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