Integer Programming: Theory and Practice

by John K. Karlof (Editor)

Overview

Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications.

This volume begins with a description of new constructive and iterative search methods for solving the Boolean optimization problem (BOOP). Following a review of recent developments

Product Details

ISBN-13:	9781040167816
Publisher:	CRC Press
Publication date:	09/22/2005
Sold by:	Barnes & Noble
Format:	eBook
Pages:	336
File size:	6 MB

Table of Contents

New Heuristics and Adaptive Memory Procedures for
Boolean Optimization Problems. Convergent Lagrangian Methods for Separable Nonlinear Integer Programming: Objective Level-Cut and Domain-Cut Methods. The Generalized Assignment Problem. Decomposition in Integer Linear Programming. Airline Scheduling Models and Solution Algorithms for the Temporary Closure of Airports. Determining an Optimal Fleet Mix and Schedules:
Part I - Single Source and Destination. Determining an Optimal Fleet Mix and Schedules: Part II - Multiple Sources and Destinations, and the Option of Leasing Transshipment Depots. An Integer Programming Model for the Optimization of Data Cycle Maps. Application of Column-Generation Techniques to Retail Assortment Planning. Noncommercial Software for Mixed-Integer Linear
Programming.