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The aim of the work is to review and analyze the ideas and possibilities of modeling social welfare optimization based on the essential premises of neoclassical schools on consumer choice optimization. The work explains current and often controversial conceptions of basic postulates of economic welfare. It deals with the problems of defining the functions of social welfare, conceptions about the principles...
Evolutionary algorithms are an important branch of soft computing, being able to provide approximate solutions to problems in a reasonable amount of time. The underlying principle can be realized in an almost unlimited number of ways. This paper presents four main variants of evolutionary algorithms, and a method of running them in a topology consisting of multiple populations. The resources given...
Network-on-Chip (NoC) has emerged as a solution for communication framework for high-performance nanoscale architecture. One important aspect, in addition to deadlock-free routing, is low power consumption. In view of varied communication requirements, application specific SoC design is increasingly important. Customized NoC architectures are more suitable for a particular application, and do not...
Field-programmable gate arrays (FPGAs) can provide an efficient programmable resource for implementing hardware-based spiking neural networks (SNN). In this paper we present a hardware-software design that makes it possible to simulate large-scale (2 million neurons) biologically plausible SNNs on an FPGA-based system. We have chosen three SNN models from the various models available in the literature,...
With the increasing popularity and development of e-commerce and information technology, multi-attribute bilateral matching problem has been receiving more and more attention. In this paper, multi-attribute bilateral matching problem is discussed based on the consideration of stable matching. Concepts and definitions of multi-attribute bilateral stable matching are presented firstly, followed by the...
The paper has constructed the mathematical model on the storage location assignment in AS/RS, and then optimized and solved it, performed instance simulation design and analysis on the storage location assignment by means of Flexsim. Finally, we have concluded that the storage location assignment model after optimization would solve the storage location assignment problem in AS/RS effectively and...
The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading...
This paper puts forth a model of the transportation and inventory integration and optimization problem based on system and optimal theory which we take into account the antinomy relationship of transportation and inventory and the antinomy relationship of inventory and stock-out in supply chain logistics system. We consider that the resources available and the total time of inventory and transportation...
The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population's multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator...
This paper introduce the technology of electromotor control and protective electrical appliance intelligent, using the artificial fish swarm algorithm (AFSA) which is based on genetic algorithm to optimize the calculate of the intelligent ac contactor. According to the result of optimization design, we have made a showpiece, after the test and experimentation of the prototype; finally we got results...
Cluster supply chain has the advantages of scale economy, brand effect and technological innovation. It is an important way to adjust, upgrade and optimize tourism industrial structure .The study on how the cluster supply chain to promote the optimization of the tourism industrial structure has a great practical significance for the sustainable development of tourism industry. This paper attempts...
For features of planning and design's evaluation, and on basis of the principles of establishing evaluation index system, this paper established the comprehensive evaluation index system of residential planning and design program; In the use of analytical hierarchy process to determine weights of evaluation indexes, and based on the character of fuzzy comprehensive evaluation method that using dimensionless...
The topology optimization of YKS5120B-3 NC gear shaper machine tool bed is completed based on ANSYS with the shape envelope of the whole tool bed as solution domain and the minimum static compliance as objective function. The optimal topology model of the tool bed is obtained. And then the tool bed model is reconstructed in Pro/E and re-tested by static and dynamic analysis in ANSAYS. The re-tested...
Energy model and its feature and the layer structure in iron and steel industry were described in detail. Energy balance and comprehensive optimization model was set up further with iron and steel industry production practice. The model analysis indicated that it was applicable to solve engineering problem. Energy input-output model was established with energy input-output table based on material...
Gear reducer is one of the most widely used methods in mechanical transmission, optimization of which is of great significance in improving the bearing capacity, prolonging service life and reducing its size and quality. By Visual Basic programming mixed with MATLAB, automatic optimization design for gear reducer is realized in the paper, design efficiency and quality greatly improved. Genetic algorithm...
This paper proposes a improved Genetic algorithm used in anti-missile systems, which is verified more efficient than the ordinary method. Experimental results simulated on 8 attacking objects was carried out. The improved Genetic algorithm improves normal Genetic algorithm by up to 6.07% in the average optimal time. These preferable results demonstrate the advantage of the adaptive Genetic algorithm...
In a MMSE Ultra-WideBand(UWB) selective rake receiver, the selection of optimal subset of multipath is important for the performance of system. As the optimal solution is NP hard, the Discrete Particle Swarm Optimization Multipath Selection algorithm (DPSO-MSa) was proposed. The DPSO-MSa can get near optimal performance after certain iterations. Simulation results are presents to compare with the...
Taking talents policy of Shanghai government for example and basing on analysis of research of policy affectees, we setup index structure of three dimensions. These three dimensions are talent increase, talent centralization and talent efficiency. We measured talents policy of Shanghai from year 2001 to 2006 with Fuzzy Optimization Methodology Model. The effect of talent policy, trend characteristic...
Plastic profiles produced by extrusion die are cooled down and calibrated by calibrators, so it is very important to properly design the cooling system in calibrator for the profile quality. Based on the finite element method (FEM) and the finite difference method (FDM), the numerical simulation of the cooling process is realized for plastic profile within calibrator. The simultaneous shape and topology...
Reservoir optimal operation is a nonlinear, multi-stage and strong constraint combinatorial optimization problem. As the standard particle swarm optimization (SPSO) easily trapped into local optima, this paper proposes a hybrid algorithm combining particle swarm optimization algorithm with chaotic search algorithm, also referred to as CPSO algorithm. Making use of the stochastic property and ergodicity...
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