A Hybrid Simulated AnnealingLinear Programming Approach for the Cover Printing Problem

Joint Authors

Romero, David
Alonso-Pecina, Federico

Source

Mathematical Problems in Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-27

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

The NP-hard cover printing problem addressed here consists in determining the number and composition of equal size impression grids, as well as the number of times each grid is printed, in order to fulfill the demand of different book covers at minimum total printing cost.

The considered costs come from printing sheets and for composing grids.

Thus, to deal with this combinatorial optimization problem we investigated two heuristics: one combines simulated annealing and linear programming techniques and the other is a hybrid of Tabu Search and an ad hoc procedure.

Through intensive testing on available instances, these algorithms proved to be superior to previous approaches.

American Psychological Association (APA)

Alonso-Pecina, Federico& Romero, David. 2018. A Hybrid Simulated AnnealingLinear Programming Approach for the Cover Printing Problem. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208256

Modern Language Association (MLA)

Alonso-Pecina, Federico& Romero, David. A Hybrid Simulated AnnealingLinear Programming Approach for the Cover Printing Problem. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208256

American Medical Association (AMA)

Alonso-Pecina, Federico& Romero, David. A Hybrid Simulated AnnealingLinear Programming Approach for the Cover Printing Problem. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208256

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1208256