Computer Codes for Problems of Integer Programming
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This chapter presents a “consumer research” report on the different products and also the methods for solving pure integer problems—frequently with special combinatorial structures.
Abstract
This chapter presents computer codes for the problems of integer programming. The term "integer programming" covers a wide spectrum of models, which can be characterized by mixed integer programming (MIP) at one end and combinatorial programming at the other end. The interest of those working in commercial organizations is currently focused at the MIP end of the spectrum—indeed on problems, which are basically large linear programming (LP) systems with relatively few integer variables. The chapter presents a "consumer research" report on the different products and also the methods for solving pure integer problems—frequently with special combinatorial structures. Thus, in a consumer report, one has to bear in mind, which consumers are intended for each code. The code should be capable of obtaining a guaranteed optimum solution. A large and complex problem may not be capable of yielding an optimum integer solution within feasible cost and time limits on any code so that the user has in fact to be content with a significant solution obtained by heuristic methods.
