Introduction to Cutting and Packing Optimization Introduction to Cutting and Packing Optimization
International Series in Operations Research & Management Science

Introduction to Cutting and Packing Optimization

Problems, Modeling Approaches, Solution Methods

    • €74.99
    • €74.99

Publisher Description

This book provides a comprehensive overview of the most important and frequently considered optimization problems concerning cutting and packing. Based on appropriate modeling approaches for the problems considered, it offers an introduction to the related solution methods. It also addresses aspects like performance results for heuristic algorithms and bounds of the optimal value, as well as the packability of a given set of objects within a predefined container. The problems discussed arise in a wide variety of different fields of application and research, and as such, the fundamental knowledge presented in this book make it a valuable resource for students, practitioners, and researchers who are interested in dealing with such tasks.

GENRE
Business & Personal Finance
RELEASED
2017
20 October
LANGUAGE
EN
English
LENGTH
434
Pages
PUBLISHER
Springer International Publishing
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
8.7
MB
Location Theory Location Theory
2006
Modeling and Optimization: Theory and Applications Modeling and Optimization: Theory and Applications
2017
Graph Theory and Combinatorial Optimization Graph Theory and Combinatorial Optimization
2005
The Quadratic Unconstrained Binary Optimization Problem The Quadratic Unconstrained Binary Optimization Problem
2022
Optimized Packings with Applications Optimized Packings with Applications
2015
Capacitated Planned Maintenance Capacitated Planned Maintenance
2016
Outsourcing Using Operations Research and Management Science Methods Outsourcing Using Operations Research and Management Science Methods
2025
Outsourcing Outsourcing
2025
Machine Learning Technologies on Energy Economics and Finance Machine Learning Technologies on Energy Economics and Finance
2025
Machine Learning Technologies on Energy Economics and Finance Machine Learning Technologies on Energy Economics and Finance
2025
University-Industry Collaboration University-Industry Collaboration
2025
The Unaffordable Price of Static Decision-making Models The Unaffordable Price of Static Decision-making Models
2025