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Genetic algorithm (GA) is a good service selection algorithm to select an optimal composite plan from many composite plans. Since the execution of GA relies on a randomly search procedure to seek possible solutions, bad convergence of GA is produced by random sequences generation. To improve the convergence of GA for Web service selection with global quality-of-service (QoS) constraints, chaos theory...
As a kind of service selection algorithm, genetic algorithm is a good way to select an optimal composite plan from many composite plans. Including crossover operation, mutation operation and selection operation, all the executions of GA rely on a randomly search procedure to seek the area of possible solutions. But, bad convergence and prematurity phenomenon of GA are produced by random sequences...
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