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The resource planning and scheduling technology of payload is a key technology to realize an automated control for earth observing satellite with limited resources on satellite, which is implemented to arrange the works states of various payloads to carry out missions by optimizing the scheme of the resources. The scheduling task is a difficult constraint optimization problem with various and mutative...
A novel emergency evacuation model based on a modified Particle Swarm Optimization was presented. The Linear Weight Decreasing Particle Swarm Optimization was introduced to simulate individualpsilas movement. Compared with social force model and CA model, the new model well performed evacuation result. A prototype system of emergency evacuation simulation was implemented based on Geographic Information...
The genetic particle swarm optimization (GPSO) was derived from the original particle swarm optimization (PSO), which is incorporated with the genetic reproduction mechanisms, namely crossover and mutation. To solve traveling salesman problems (TSP), a modified genetic particle swarm optimization (MGPSO) was introduced, where the new solution was generated with local best and individual best solutions...
The genetic particle swarm optimization (GPSO) was derived from the original particle swarm optimization (PSO), which is incorporated with the genetic reproduction mechanisms, namely crossover and mutation. Based on which a modified genetic particle swarm optimization (MGPSO) was introduced to solve constrained optimization problems. In which the differential evolution (DE) was incorporated into GPSO...
To enhance the performance of the particle swarm optimization (PSO), various mutation operators were proposed. But it is hard to select a proper operator in advance in the real word, because the objects are quite different. To incorporate the characteristic of the operators, several known operators were implemented to PSO all together, the results have shown that the performance was enhanced for most...
In this paper, we propose a formulation of the unit commitment problem based on the profit under the deregulated electricity market (PBUC). We express the unit commitment problem as a mixed integer nonlinear optimization problem in which the objective is to maximize profits for generation company and the decisions are required to meet all kinds of operating constraints. Under the assumption of competitive...
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