Results 231 to 240 of about 1,450,998 (293)
The social cost of carbon in regions and industries from ESG perspective - a case study of eight economic regions in China. [PDF]
Tian Z, Tian L, Zhao Y.
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Balancing energy resilience and mobility: a multi-objective strategy for deploying shared autonomous electric vehicles during power outages. [PDF]
Augusto Manzolli J +3 more
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A multi-objective optimization framework integrating ICSL deep learning for forecasting and scheduling emergency medical supply demand in public health emergencies. [PDF]
Pang Y +10 more
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Bicriteria Transportation Problem
Management Science, 1979In a transportation problem, generally, a single criterion of minimizing the total cost is considered. But in certain practical situations two or more objectives are relevant. For example, the objectives may be minimizations of total cost, consumption of certain scarce resources such as energy, total deterioration of goods during transportation, etc ...
Y. P. Aneja, K. P. K. Nair
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Solving Constrained Transportation Problems
Operations Research, 1975This paper presents a specialized method for solving transportation problems with several additional linear constraints. The method is basically the primal simplex method, specialized to exploit fully the topological structure embedded in the problem.
Klingman, D., Russell, R.
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Multiparametric demand transportation problem
European Journal of Operational Research, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FILIPPI C., ROMANIN JACUR, GIORGIO
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1992
In Chapter 7 we compared different GA approaches for handling constraints using an example of the transportation problem. It seems that for this particular class of problems we can do better: we can use a more appropriate (natural) data structure (for a transportation problem, a matrix) and specialized “genetic” operators which operate on matrices ...
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In Chapter 7 we compared different GA approaches for handling constraints using an example of the transportation problem. It seems that for this particular class of problems we can do better: we can use a more appropriate (natural) data structure (for a transportation problem, a matrix) and specialized “genetic” operators which operate on matrices ...
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The online transportation problem
SIAM Journal on Discrete Mathematics, 1995Summary: We study the online transportation problem under the assumption that the adversary has only half as many servers at each site as the online algorithm. We show that the GREEDY algorithm is \(\Theta(\min(m,\lg C))\)-competitive under this assumption, where \(m\) is the number of server sites and \(C\) is the total number of servers.
Kalyanasundaram, Bala, Pruhs, Kirk R.
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Time‐minimizing transportation problems
Naval Research Logistics Quarterly, 1969AbstractA method is given for finding those solutions of a transportation problem which minimize the total time necessary for transporting goods from the suppliers to the consumers. Several extensions of the model are presented.
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