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To avoid the BP (Back-Propagation) Network's disadvantages of low training speed, prone to trapping in a local optimum and poor capability of global search, this paper establishes the model of manual neural network energy prediction system based on generic algorithm with the research on the Mn-Si alloy smelting of a steel company, by optimizing the initialized weights and threshold of neural network...
To avoid the BP (Back-Propagation) Network's disadvantages of low training speed, prone to trapping in a local optimum and poor capability of global search, this paper establishes the model of key based on generic algorithm with the research on the key shape, by optimizing the initialized weights and threshold of neural network with GA. After the test of the program complied by MATLAB language and...
With the development of Web service technology, applications constructed by Composite Web Service becoming possible, so the importance of optimization problems for QoS of Web Service composite are becoming increasingly evident. Genetic algorithm and ant colony algorithm are both belong to the global optimization methods of QoS. For ant colony algorithm easy to drop into the slow pace of convergence...
Virus evolutionary genetic algorithm (VEGA) is an improved genetic algorithm (GA) that can prevent premature convergence, which introduces an additional virus population and two infection operators to GA. In this paper, a VEGA using the local selection scheme is proposed. Local selection can effectively maintain the diversity of the host population in VEGA and then improved the algorithm's performance...
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