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

Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design ...

To solve an Integer Programming problem, we can use the Branch and Bound algorithm: # IP: a minimization integer program with constraints and objective function cost def branch_and_bound (IP): 1. Push ...

Nazario D. Ramirez-Beltran, Integer Programming to Minimize Labour Costs, The Journal of the Operational Research Society, Vol. 46, No. 2 (Feb., 1995), pp. 139-146 ...

Transforming multiobjective stochastic integer programming problems into deterministic ones using simple recourse. Efficiently solving nonlinear integer programming problems with genetic algorithms.

A zero-one integer mathematical programming formulation is proposed to solve the optimal product line selection problem. Based on individual consumer measurements from conjoint analysis, the ...

This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave maximization ...

We propose an exact solution approach that involves mixed-integer linear programming. The objective is hereby to minimize the sum of weighted deviations from the target landing times under ...