[PDF] Top 20 Solving Travelling Salesman Problem with an Improved Hybrid Genetic Algorithm

... novel hybrid GA (HGA), which incorporates the local search method into GA, is proposed to be as an effective heuristic approach for the two-dimensional Euclidean ...proposed algorithm has the trade-off of ... See full document

... Genetic algorithm is a heuristic search algorithm which has been given solutions for optimization problems ...of genetic algorithm is based on the natural evolution which is carried out ... See full document

... of genetic algorithms for the travelling salesperson problem [20] studied exact algorithm, heuristic algorithm and genetic algorithm in solving ...A hybrid ... See full document

... Traveling Salesman Problem (TSP) is one of the standard test problems used in performance analysis of discrete optimization ...(ACO) algorithm appears among heuristic algorithms used for ... See full document

... optimization problem which is used to find minimum path for ...the Salesman and thus help to improve the overall ...of Genetic Algorithms in achieving optimizing solutions for ... See full document

... for solving problems, in addition to the NP-hard ...superior algorithm to attempt on the travelling salesman problem, is one of the well-known NP-hard ...problem. Genetic ... See full document

... This work attempted on evaluating three methods for solving symmetric TSP for 25 contiguous cities in England. These methods were exhaustive, heuristic and genetic algorithm (GA) which then ... See full document

... in solving complex perceptual problems. To resolve this problem, an artificial neuron, which is a computer based form motivated by the innate neurons, has ... See full document

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

... Machine learning deals with the erection and study of systems that learns from data. Rohit Chaturvedi et al,(2014) proposed a competent method which improves ACO in terms of iteration count and ability to find better ... See full document

... But Genetic Algorithm has weaker local search ability ...Hierarchical Genetic Algorithm, the fitness converges, and less superior individuals are ...However, Hybrid Simulated Annealing ... See full document

... the Travelling Salesman Problem (TSP) or its variants in term of discovering the shortest ...Loop Travelling Salesman Problem (nOTSP), the Genetic Algorithm (GA) as ... See full document

... Memetic algorithm (MA) is motivated by Dawkin’s notion of a meme as a unit of information is processed and enhanced by the communicating ...the problem. Memetic algorithms combine the power of ... See full document

... NP-complete problem, which has extremely large search spaces and is very difficult to solve (Louis & Gong, ...for solving TSP usually result in exponential computational ...for solving the TSP ... See full document

... random-key genetic algorithm. The algorithm performed quite well when tested on a set of 41 standard problems with known optimal objective values ...a genetic algorithm implementation ... 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

... same problem, the amount of error allowed can differ ...routing problem would likely have much less error tolerance than a planning committee using the capacitated vehicle routing problem to plan the ... See full document

... the salesman starts its journey from ‘A’, then it will visit each city B, C, D, E, and then return to ‘A’ by following the shortest ...in Travelling salesman problem, the salesman can ... See full document

... Travelling Salesman Problem (TSP) is an optimization problem in operation ...for solving TSP are given by many researcher in last recent ... See full document

... In the second experiment, it is tackled small instances of this problem which are given in TSPLib map [27]. eil51, berlin52, eil76, rad100 and kroa200 data sets have 51, 52, 76, 100 and 200 special universal ... See full document