Integer Programming and Combinatorial Optimization Publication Trend The graph below shows the total number of publications each year in Integer Programming and Combinatorial Optimization.

Quantum computers tap into the principles of superposition and entanglement, processes which allow quantum bits (qubits) to ...

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

The computational results on problems with up to 2750 variables strongly confirm our hypothesis that a combination of problem preprocessing, cutting planes, and clever branch-and-bound techniques ...

A Linear Programming Approach for Battery Impairment Analysis and Optimization in Decentralized Power Systems for Agricultural Operations With Solar Energy Integration ...

Convex geometry and combinatorial optimisation form a vibrant nexus of research that bridges theoretical mathematics with practical algorithm design.

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; it’s combinatorial.

Hallmark Channel, Hallmark Mystery and Hallmark+ release new movies monthly, beginning in January 2025 ...

Abstract: In this paper, the end force caused by the finite primary length of permanent magnet linear synchronous motor (PMLSM) is analyzed and minimized with the chamfered auxiliary teeth. Firstly, ...