نتایج جستجو برای: genetic network programming gnp
تعداد نتایج: 1520772 فیلتر نتایج به سال:
In this paper, the transportation problem under the carbon emission trading program ismodelled by mathematical programming and genetic algorithm. Since green supply chain issuesbecome important and new legislations are taken into account, carbon emissions costs are included inthe total costs of the supply chain. The optimisation model has the ability to minimise the total costsand provides the ...
Coordinates-based mechanisms have proven to be useful in a peer-to-peer architecture to predict Internet network distance, even more so than the already existing IDMaps scheme. One such mechanism has been analyzed known as Global Network Positioning (GNP) to provide insight on a current state of the art technology in network distance prediction. GNP instantiates a virtual geometric space by app...
In a daily power market, price and load forecasting is the most important signal for the market participants. In this paper, an accurate feed-forward neural network model with a genetic optimization levenberg-marquardt back propagation (LMBP) training algorithm is employed for short-term nodal congestion price forecasting in different zones of a large-scale power market. The use of genetic algo...
hub covering location problem, network design, single machine scheduling, genetic algorithm, shuffled frog leaping algorithm hub location problems (hlp) are synthetic optimization problems that appears in telecommunication and transportation networks where nodes send and receive commodities (i.e., data transmissions, passengers transportation, express packages, postal deliveries, etc.) th...
A genetic algorithm is proposed to optimize a tree-structured power distribution network considering optimal cable sizing. For minimizing the total cost of the network, a mixed-integer programming model is presented determining the optimal sizes of cables with minimized location-allocation cost. For designing the distribution lines in a power network, the primary factors must be considered as m...
This paper presents a framework for long term transmission expansion planning in power pool competitive electricity markets. In the proposed approach, maximization of network users’ benefits with satisfying of security constraints is considered for determination of transmission expansion strategy. The proposed model is a complicated non-linear mixed-integer optimization problem. A hybrid ...
logistic network design is one of the most important strategic decisions in supply chain management that has recently attracted the attention of many researchers. transportation network design is then one of the most important fields of logistic network. this study is concerned with designing a multi-stage and multi-product logistic network. at first, a mixed integer nonlinear programming model...
The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...
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