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Forecasting the vessel traffic flow in the bridge areas is focused on this study. Based on Hybrid Radial Basis Function Neural Network, another novel predictive statistic modeling technique called Enhanced Hybrid Radial Basis Function Neural Network (EHRBF-NN) is proposed in the paper. EHRBF-NN is a flexible forecasting technique that integrates regression trees, particle swarm optimization, with...
The paper deals with the performance of genetic algorithm according to the analysis of control parameters, the evolution between different sub-populations, the interaction on best individual and, the expansion on the search interval, are analyzed, and an adaptive genetic algorithm is presented, which is multi-population parallel evolutionary and variable population size. It is proved by comparative...
In view of the independence and disagreement of each index in the groundwater quality evaluating, projection pursuit evaluating model is applied to groundwater quality evaluation, and real coding based accelerating genetic algorithm is introduced to optimize the projection direction so that multi-dimension data can be turned into low dimension space. The value of projection function can be calculated...
Based on Chaotic Genetic Algorithm idea, this paper presents a new solution for the classic Knapsack Problem(KP). We introduce Chaos idea into Genetic Algorithm, adding the disturbance to help finding better solutions in the traditional Genetic Algorithm. Results of numerical tests show that it has high efficiency and the good ability of global optimization.
With the growing changes in global market, manufacturing enterprise needs more agility to fulfill customized demand. Holonic manufacturing system (HMS) has advantages of both hierarchical and heterarchical structure, and is an effective way for manufacturing enterprises to be competitive. However, interaction among a large number of holons is complex. In this paper, two methods are presented as tools...
In view of the coordination difficulty problems existing in relay protection system and high security demand of power supply, the global optimization model for protection settings was set up in power supply network based on the analysis of relay characteristics. A new multi-parameter co-evolutionary genetic algorithm, used to optimize the protection settings, was presented and improved with establishing...
A hybrid simplex-genetic algorithm (HSGA) is presented to solve global numerical optimization problems. The HSGA combines the traditional genetic algorithm, which has a powerful global exploration capacity, with simplex algorithm, which can exploit the local range. Some improved mechanism are introduced in the HSGA, such as hybrid encoding, orthogonal design, and feedback mutation etc. so the HSGA...
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