The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical *** then,an immune based partheno-genetic algorithm was proposed...
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The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical *** then,an immune based partheno-genetic algorithm was proposed by making use of concepts and principles introduced from immune system and genetic system in *** this method,processing se- quence of products could be expressed by the character encoding and each antibody represents a feasible *** was used to measure the matching degree between antibody and *** several antibodies producing operators,such as swopping,mov- ing,inverting,etc,were worked *** algorithm was combined with evolution function of the genetic algorithm and density mechanism in organisms immune *** and inhibition of antibodies were realized by expected propagation ratio of an- tibodies,and in this way,premature convergence was *** simulation proved that this algorithm is effective.
In the paper, algorithms of the techniques incorporated in subsystems of the program complex are presented for calculation and estimation of atmospheric anomalies, caused by industrial emissions in the atmosphere. The...
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ISBN:
(纸本)0819453161
In the paper, algorithms of the techniques incorporated in subsystems of the program complex are presented for calculation and estimation of atmospheric anomalies, caused by industrial emissions in the atmosphere. The complex is included in the gas analyzer DAN-2, developed for registration of emission and absorption of optical and the microwave radiation initiated by gas-aerosol pollution in the atmosphere. The complex DAN-2 has been developed in the Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Science. Techniques include: calculation of gas concentration in a plume of industrial emission taking into account gas-aerosol attenuation, an azimuth of the device sighting at a direction on the source and the allocated illumination of the day-time sky;numerical modeling of formation and distribution of gas-aerosol emission fields in the atmosphere with use of various models (Gaussian, Berlyand, etc.);the forecast of optical noise in the atmosphere at operating hardware DAN-2 taking into account different types of underground surfaces under various hydro meteorological conditions;algorithm of restoration of the plume structure under its image. In the paper, results of testing of the specified algorithms are presented with use of the data of natural measurements of NO2 and SO2 concentration in the emission plume of the thermal power station GRES-2 in Tomsk, which were received by the complex DAN-2. Calculation of atmospheric background noise and distributions of the gas-aerosol plume has been carried out by various methods with use of these data.
In this paper,a novel fuzzy neural network model,in which an adjustable fuzzy sub-space was designed by uniform design,has been established and used in fed-batch yeast fermentationas an example.A brand-new optimizatio...
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In this paper,a novel fuzzy neural network model,in which an adjustable fuzzy sub-space was designed by uniform design,has been established and used in fed-batch yeast fermentationas an example.A brand-new optimization sub-network with special structure has been built andgenetic algorithm,guaranteeing the optimization in overall space,is introduced for the feed *** the basis of the model network,the optimal substrate concentration and theoptimal amount of fed-batch at different periods have been studied,aided with the optimizationnetwork and the genetic algorithm *** above results can be used as a basis for theestablishment of a fuzzy neural network controller.
This paper presents a new highly parallel algorithm for computing the minimum-norm least-squares solution of inconsistent linear equations Ax = b(A∈Rm×n,b∈R (A)). By this algorithm the solution x = A + b is obt...
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This paper presents a new highly parallel algorithm for computing the minimum-norm least-squares solution of inconsistent linear equations Ax = b(A∈Rm×n,b∈R (A)). By this algorithm the solution x = A + b is obtained in T = n(log2m + log2(n - r + 1) + 5) + log2m + 1 steps with P=mn processors when m × 2(n - 1) and with P = 2n(n - 1) processors otherwise.
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