Add to ORKGTravelling Salesman Problem (TSP) is one of the most researched combinatorial problems in mathematics. This chapter incorporates chaotic maps in evolutionary algorithms as random number generators and applies it to the TSP. Chaotic maps are such that inhibit a unique footprint in operational space for each iteration, which in turn provides an excellent stochastic generator, since the chaos maps are described explicitly by mathematical formulation. A number of benchmark problems in Travelling Salesman problem are attempted.P(GA102/09/1680
Experiments with genetic algorithms using permutation operators applied to the Travelling Salesman P...
Evolutionary and genetic algorithms are problem-solving methods designed according to a nature inspi...
This paper presents a variation of the Euclidean Traveling Salesman Problem (TSP), the Multiple Trav...
This book is a collection of current research in the application of evolutionary algorithms and othe...
This diploma thesis deals with evolutionary algorithms used for travelling salesman problem (TSP). I...
An evolutionary algorithm is described for solving instances of the Travelling Salesman Problem (TSP...
In this paper, we proposed a new method to solve TSP (Traveling Salesman Problem) based on evolution...
In this paper, we proposed a new method to solve TSP (Traveling Salesman Problem) based on evolution...
Abstract In this study, we try to implant chaotic features into the learning algorithm of self-organ...
Abstract — This paper presents the literature survey review of Travelling Salesman Problem (TSP). TS...
A huge number of papers studies Travelling Salesman Problem (TSP) in classical version. In standard ...
Genetic Algorithms (GAs) are an evolutionary technique that uses the operators like mutation, crosso...
Genetic Algorithms are finding increasing number of applications in a variety of problems in a whole...
Even if simply stated the travelling salesman problem (TSP) is one of the most studied NP-hard probl...
We present and discuss philosophy and methodology of chaotic evolution that is theoretically support...
Experiments with genetic algorithms using permutation operators applied to the Travelling Salesman P...
Evolutionary and genetic algorithms are problem-solving methods designed according to a nature inspi...
This paper presents a variation of the Euclidean Traveling Salesman Problem (TSP), the Multiple Trav...
This book is a collection of current research in the application of evolutionary algorithms and othe...
This diploma thesis deals with evolutionary algorithms used for travelling salesman problem (TSP). I...
An evolutionary algorithm is described for solving instances of the Travelling Salesman Problem (TSP...
In this paper, we proposed a new method to solve TSP (Traveling Salesman Problem) based on evolution...
In this paper, we proposed a new method to solve TSP (Traveling Salesman Problem) based on evolution...
Abstract In this study, we try to implant chaotic features into the learning algorithm of self-organ...
Abstract — This paper presents the literature survey review of Travelling Salesman Problem (TSP). TS...
A huge number of papers studies Travelling Salesman Problem (TSP) in classical version. In standard ...
Genetic Algorithms (GAs) are an evolutionary technique that uses the operators like mutation, crosso...
Genetic Algorithms are finding increasing number of applications in a variety of problems in a whole...
Even if simply stated the travelling salesman problem (TSP) is one of the most studied NP-hard probl...
We present and discuss philosophy and methodology of chaotic evolution that is theoretically support...
Experiments with genetic algorithms using permutation operators applied to the Travelling Salesman P...
Evolutionary and genetic algorithms are problem-solving methods designed according to a nature inspi...
This paper presents a variation of the Euclidean Traveling Salesman Problem (TSP), the Multiple Trav...