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Flexible job-shop scheduling problem (FJSP) is very important in many research fields such as production management and combinatorial optimization. The FJSP problems cover two difficulties namely machine assignment problem and operation sequencing problem. In this paper, we apply particle swarm optimization (PSO) algorithm to solve this FJSP problem aiming to minimize the maximum completion time criterion...
In this paper, we deal with the impact of the population size and number of generations on the performance of a dense WMN. The network is compound of 8 mesh routers and 96 mesh clients. We evaluate the performance considering giant component, number of covered users and the total execution time of GA. The simulation results show that the increase of the population size or the increase of the number...
In Wireless Mesh Networks (WMNs), the performance of the network is affected by the location of mesh nodes. The placement of mesh nodes is an important design issue in deploying such networks. For a given grid size and a given number of mesh nodes, we use Genetic Algorithms (GAs) to find where to position the mesh nodes in order to maximize the coverage and the connectivity of the network. In this...
In this paper, we use WMN-GA system for node placement problem in WMNs. For a given grid size and a given number of mesh nodes, our WMN-GA system use Genetic Algorithms (GAs) to find where to position the mesh nodes in order to maximize the coverage and the connectivity of the network. We evaluate and compare the performance of Weibull and Exponential distributions considering giant component and...
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