Abstract: Many important optimization problems, such as manufacturing scheduling and power system unit commitment, are formulated as Mixed-Integer Linear Programming (MILP) problems. Such problems are ...
Abstract: By reformulating the linear multiplicative programming problem (LMP) as an equivalent nonconvex programming problem (EP), we present a new accelerating outcome space branch-and-bound ...
Two algorithms for the one-dimensional cutting problem, namely, a modified branch-and-bound method (exact method) and a heuristic sequential value correction method are suggested. In order to obtain a ...
A search for a solution to the crisis in Haiti is growing more urgent as gangs gain territory and thousands more flee their homes. By Frances Robles Reporting from Florida Haiti, a nation rocked by ...
Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...
This repository contains a simple implementation of a linear programming solver, in particular for the primal and dual simplex method in tableau form and the application of Gomory's cut in case of ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
Artificial intelligence (AI) has created a furor recently with its possibility to revolutionize how people approach and solve different tasks and complex problems. From healthcare to finance, AI and ...
Karmarkar (1984) found the first method of the interior point algorithm, so linear programming appeared as a dynamic field of research. Soon after, the interior point algorithm was able to resolve ...
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