This paper presents an improved one-layer projection neural network for solving the linear assignment problem. The assignment problem is first converted into a linear programming problem, then a ...

5. Structure of Linear Programming Model Generally, all LP problems [3] [17] [29] [31] [32] have these three properties in common: 1) OBJECTIVE FUNCTION: The objective function of an LPP (Linear ...

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...

We formulated and solved the fleet assignment problem as an integer linear programming model, permitting assignment of two or more fleets to a flight schedule simultaneously. The objective function ...

In this paper, we solve a residing combinatorial optimization problem commonly known as graph-based pairwise assignment, maximum bipartite cardinality matching, min-cut, or max-sum problem by the ...

Abstract The objective of the paper is to deal with a kind of possibilistic linear programming (PLP) problem involving multiple objectives of conflicting nature. In particular, we have considered a ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

Linear programming is a powerful optimization technique used to achieve the best outcome in problems with linear relationships.