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The global shortest path programming (GSPP) has extensive applications in engineering practices. The Steiner tree problem is a nonlinear programming conundrum with fixed points and fictive points and is typical theoretical basis of GSPP. The Steiner minimum tree (SMT) problem can be changed to a combination-optimization problem, a test selection algorithm for the construction of the initial population...
The traditional neural network is unavoidable to present local extreme value question, may result in failing training. On the basis of quantization of weapon system safe index, it has adopted neural network based on improved genetic algorithm to set up the systematic safety evaluation model of the weapon. It utilizes improved genetic algorithm to optimize the weight of neural network and get the final...
Uniformity of overall and longitudinal (Uo, UL) are two important items to evaluate roadway lighting quality. The fitness function incorporates two adaptive parameters in order to take both Uo and UL into consideration as multi-objective function for genetic algorithm. Installation geometry is specified to build up direct connection between I-table and r-table to result in an optimal I-table for R3...
Based on a deep discussion on the algorithm of multi-CCD sensor planning, genetic algorithm ant algorithm (GAAA) is proposed in this paper. GAAA is superior to ant colony algorithm in time efficiency and also superior to genetic algorithm in solution efficiency. Through optimizing, it improves the resulting efficiency of digital image processing greatly. moreover, it is more convenient to the latter...
With high compression ratio performance, fractal image compression technology becomes a hot topic of research of image compression techniques. However, the encoding time of traditional fractal compression technique is too long to achieve real-time image compression, so it cannot be widely used. Based on the theory of fractal image compression; this paper raised an improved algorithm form the aspect...
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