Fuzzy Optimal Allocation of Service Centers for Sustainable Transportation Networks Service

Author(s):  
Alexander Bozhenyuk ◽  
Stanislav Belyakov ◽  
Evgeniya Gerasimenko ◽  
Marina Savelyeva
1985 ◽  
Vol 24 (3-4) ◽  
pp. 551-563
Author(s):  
Tariq Riaz

Any system of ideas which underlies economic policy recommendations needs to be made explicit so that its doctrinal premise may be examined and debated. Section I of this paper, therefore, explicitly states the philosophical under -pinning of this study. Section 2 presents the central energy problem in a general mathematical form whereas the solution of the specific energy problem for the Pakistani economy is presented in Section 3, in which policy guidelines for obtaining the desired solution have also been discussed. Finally, Section 4 briefly presents our concluding remarks.


Author(s):  
Jeffrey L. Adler

For a wide range of transportation network path search problems, the A* heuristic significantly reduces both search effort and running time when compared to basic label-setting algorithms. The motivation for this research was to determine if additional savings could be attained by further experimenting with refinements to the A* approach. We propose a best neighbor heuristic improvement to the A* algorithm that yields additional benefits by significantly reducing the search effort on sparse networks. The level of reduction in running time improves as the average outdegree of the network decreases and the number of paths sought increases.


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