[PDF] Top 20 Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

... networks the routing is based on shortest path routing ...as Genetic Algorithm based routing algorithm, which is highly scalable and insensitive to ... See full document

... approximation algorithm (Lawler, ...for the shortest route and they exhibit high computational complexity for real-time ...examined to solve the shortest path ... See full document

... and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer ...where the physical topology and traffic ... See full document

... and routing software for accident emergency ...for using a genetic algorithm to find the shortest route between a source and a ...of genetic algorithms ability ... See full document

... in the environment and are considered as the most successful biological organisms ...related to the way information is ...of the genes involved in this type of transfer provide ... See full document

... discusses genetic algorithms that can automatically generate test cases to test selected ...This algorithm takes a selected path as a target and executes sequences of operators ... See full document

... The genetic symbiotic algorithm (GSA), also called cooperative algorithm (Potter, 1997; Kim et ...breaks the problem down into n sub-problems using n different ...Dividing ... See full document

... distribution problem, in which m establishments must be supplied from a central warehouse, utilizing a heterogeneous fleet consisting of k vehicles always leaving from the same central warehouse, where ... See full document

... appears to be the swiftest and most convenient to users. The existence of swapping stations increases the feasibility of distributed energy storage via the electric ...hence ... See full document

... • The crossover operator does not rely exclusively on the preservation of their predecessors’ ...characteristics. The assumption for this is such that the diversification tries to mimic ... See full document

... characteristics. The phylogeny problem under the parsimony criterion consists in finding a phylogeny with a minimum number of evolutionary ...GRASP, path-relinking and genetic ... See full document

... include the survival of the fittest idea into a search algorithm which provides a method of searching which does not need to explore every possible solution in the feasible region ... See full document

... [r] ... See full document

... for the optimization ...which the pheromone trails are ...decreasing the intensity of pheromone trails. On the contrary, the trail’s value can be increased as ants deposit pheromone on ... See full document

... in the same row or column. Also there is more than one path between any two nodes within each block in the MMT ...have to find out the shortest path among the ... See full document

... by the author in [6] and ARA is found better than ...proposed the modifications to the algorithm by which the potential of ARA will increase in high mobility ...in the ... See full document

... of the Taquaral Granite, taking into consideration their spa- tial distribution and mineralogical and grain size ...sent to the Acme Analytical Laboratories (Acmelab) in Vancouver, Canada, for major, ... See full document

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... common to name the process of identifying the most meaningful patterns occurring in some piece of data as pattern ...dedicated to the problem of identifying the most ... See full document

... Genetic algorithm is a bio-inspired method that is applicable in continuous as well as discrete optimization and has shown excellent performance in various scheduling ...during the optimization ...in ... See full document