Learn how to design a branch-and-bound algorithm for an integer programming problem in four steps: relax, branch, bound, and repeat. Discover tips and tricks to improve your algorithm.

In this repository, you'll find theoretical materials and code related to my exploration of Quantum algorithms for Integer Programming. Upon graduation, I plan to upload presentation slides and my ...

ILP-Based Timetabling: Efficient optimization of timetables using Integer Linear Programming. Hybrid Approaches: Combination of ILP with Genetic Algorithms and Simulated Annealing to improve ...

Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously. Linear constraints, ...

Abstract: In order to solve integer programming, a bee colony foraging algorithm is proposed, which is based on the law of foraging bees. The principle of optimization algorithm is discussed and the ...

Integer programming (IP) is a powerful tool used to solve optimization problems with discrete variables. This means the variables can only take on whole number values, representing real-world ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...

Abstract: With the rapid development of the global aviation industry, the sharp increase in the number of flights has put forward higher requirements for air traffic management, especially in ensuring ...

An important challenge for most chemical companies is to simultaneously consider inventory optimization and supply chain network design under demand uncertainty. This leads to a problem that requires ...