[PDF] Top 20 Developing a Java-based Genetic Algorithm to Solve the Travelling Salesman Problem

... The Travelling Salesman Problem (TSP) is a well-known example of a classical combinatorial optimization ...the salesman returns to the starting ...tour problem [16]. The term ... See full document

... knowledge-augmented genetic operators which guide the genetic algorithm more directly towards better quality of the population but are not trapped in local optima ...The algorithm applies a ... See full document

... different algorithm as in [8] and [6]. In their study, Dong et al. [8] solve problems by using the TSP Cooperative Genetic Ant ...optimization algorithm and genetic ...to solve ... See full document

... improved algorithm called “a neighborhood expansion tabu search algorithm based on genetic factors” (NETS) to solve traveling salesman ...The algorithm keeps the ... See full document

... new algorithm called Fuzzy C-Mean Genetic Algorithm (FCMGA) to solve TSP which is used to calculate the minimum travelling cost in ...and Genetic Algorithm ...proposed ... See full document

... Neighbor algorithm and Genetic Algorithm to solve the Travelling Salesman ...The Travelling Salesman problem is a widely studied problem in ... See full document

... the problem one tries to construct the route in such a way that the total distance traveled by the salesman is ...To solve the TSP, nearest neighbor method is ...neighbor algorithm was one of ... See full document

... Travelling Salesman Problem (TSP) has been a prominent problem discussed widely among scholars in the community of mathematics and computer ...non-trivial problem, hence acquiring a ... See full document

... Since the computer now are ever-expanding in speed and memory, the TSP problems less than 100 cities can be solved to optimality within reasonable time (Hjertenes, 2002). Nevertheless, if given a 16-city TSP ... See full document

... the Travelling Salesman Problem ...of genetic algorithms (GAs) and their benefits in solving combinatorial optimization problems are also ...recursive algorithm for solving TSP using ... See full document

... to solve combinatorial and optimisation problems such as in Singh & Lodhi (2013) and Singh & Singh ...search algorithm for solving TSP through generating a present number of random tours and then ... See full document

... TSP based on a neural network using ideas from the immune system [29], ...the genetic simulated annealing ant colony system with particle swarm optimization techniques, for solving same problem ... See full document

... decision problem is one in which it was checked whether the solution of the problem is optimal or not, but in case of optimization problem it has been actually tried to find whether the solution of ... See full document

... are based on Travelling Salesman Problem (TSP), the ant colony algorithm is superior to simulated annealing and genetic algorithm approaches as it can be run continuously ... See full document

... the algorithm from ...colony algorithm can solve travelling salesman problem competently and thus help in taking up other NP complex problems without any ... See full document

... each salesman returns to starting point at end of trip, travelling to a specific set of cities in between and except for the first one, each and every city is visited by exactly one ...each salesman ... See full document

... to solve the problem. Initially, Laporte and Nobert (1980) solve mTSP without sub-tour elimination ...the problem, and a re-optimization is ... See full document

... representing Genetic algorithm shows that time complexity increases exponentially with increasing number of ...the algorithm takes a lot of time to complete (about 20000ms or ...In genetic ... See full document

... can solve problems with non-parametrical problems, multi-dimensional, non-continuous and non-differential optimization ...But Genetic Algorithm has weaker local search ability ...Hierarchical ... See full document

... traditional algorithm and improve the speed of cutting ...high, algorithm speed up effect is not evident or the results cannot be ...introduces genetic algorithm which is created with the help ... See full document