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Tasks scheduling problem is a key factor for a distributed system in order to achieve better efficiency. The problem of tasks scheduling in a distributed system can be stated as allocating tasks to processor of each computer. The objective of this problem is minimizing Makespan and communication cost while maximizing CPU utilization. Scheduling problem is known as NP-complete. Hence, many genetic...
A multi-product two-stage production distribution network design problem (PDND) is considered in this paper. The network consists of capacitated plants, capacitated distribution centers and customers. The known demand for multiple products at the customers is satisfied by shipping via distribution centers, and each customer demand is supplied via a single distribution center. A relatively efficient...
It is a research trend to incorporate neural network with genetic algorithm for solving technical and practical problems. As a single genetic algorithm has slow convergent speed and it is easily falling into local optimum, this paper presents a genetic and simulated annealing hybrid algorithm, which searches the neighborhood using chaos variables. And this paper trains a neural network using the single...
A chaotic co-evolutionary algorithm based on differential evolution and particle swarm optimization (CCDEPSO) is proposed. CCDEPSO is a two-population co-evolutionary algorithm, in which the individuals of one population are evolved according to differential evolution algorithm (DE) and the other individuals are evolved according to particle swarm optimization algorithm (PSO). In order to realize...
How to reduce the number of messages or improve searching efficiency has been a key problem which restricts the expanding of decentralized and unstructured P2P (peer-to-peer) networks. Based on traditional ant colony optimization (ACO) principle, this paper proposes a new algorithm for unstructured P2P networks by using the pheromone which can reflect the distribution of different types of files....
An approach to the solution of sequencing machining step on a machining center is proposed. Constraints model is established based on polychromatic sets theory and it is combined with a genetic algorithm to a sequence machining step on a machining center. In the model part contour matrix is used to formalize the conditioned restrictions visually and comprehensively, through which the computer programming...
In this paper we study a logistics park location planning problem in which logistics park has variable capacities related to the park size that is decided in the given range and the size ranges are different in every potential location site. We introduce the design modes to deal with the nonlinear tracts cost function and obtain an integer programming model. Then column generation is used to solve...
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