The linear balancing flow problem

Article Abstract:

The Linear Flow Balancing Program is solved based on the assumption that each instance is a linear programming problem and on its interpretation as a flow problem on a bipartite network with gains. The purpose is to optimally balance the flow from a given set of nodes. An algorithm, which may be viewed as a special modification of the Simplex but which requires less memory and computing time, is suggested. The algorithm involves the association of a tree to the set of variables of the dual problem that are not within the current basis.

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An experimental evaluation of the efficacy of four multi-objective linear programming algorithms

Article Abstract:

Two multi-objective linear programming algorithms, ARBDS and CONTEXT, outdo two others, GUESS and STEM, which are not based on the formal models of decision maker behavior. ARBDS performs better than GUESS as it passes through fewer iterations to reach a solution. CONTEXT, on the other hand, is also proven faster than STEM and also requires less iterations.

Operations Research

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Frequency assignment in mobile radio systems using branch-and-cut techniques

Article Abstract:

A frequency assignment method for mobile radio systems in a geographical area is presented.

Operations research, Management science, Analysis, Management, Wireless communications, Mobile communication systems

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