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Communities detection algorithm based on GA is attracting common interest. To solve the shortcomings of traditional single objective Genetic Algorithms based “modularity”, which tend to find a community of similar size, according the character of the problem, the corresponding optimization model is built and a multi-objective density driven genetic algorithm called MOHGA is present. So as to avoid...
In order to handle the service QoS optimization problem, how to find out an effective scheme is the aim of our study. In the area of service-oriented computing, above problem is a typical NP-hard: assuming that given a business process, including a set of abstract service and a series of specific services, each series of specific service implementation of the corresponding each abstract service, how...
The QoS based route optimization is a key issue of the wireless network, which is a NPC-hard multi-objective discrete optimization problem. In this paper, an efficient multi-objective artificial bee colony optimization algorithm based on Pareto dominance called MOABC is proposed to tackle this problem. The algorithm was evaluated on a set of different scale test problems and compared with GA based...
Based on artificial immune system, a novel immune system multiobjective optimization algorithm (ISMOA) is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in DTLZ problems suggest that ISMOA clearly outperforms in converging towards...
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