Paper Info
Title
An evolutionary hyperheuristic to solve strip-packing problems
Abstract
In this paper we introduce an evolutionary hyperheuristic approach to solve difficult strip packing problems. We have designed a genetic based hyperheuristic using the most recently proposed low-level heuristics in the literature. Two versions for tuning parameters have also been evaluated. The results obtained are very encouraging showing that our approach outperforms the single heuristics and others well-known techniques.
Year
DOI
Venue
2007
10.1007/978-3-540-77226-2_42
IDEAL
Keywords
Field
DocType
low-level heuristics,well-known technique,tuning parameter,encouraging showing,difficult strip packing problem,strip-packing problem,single heuristics,evolutionary hyperheuristic approach,evolutionary algorithm
Evolutionary algorithm,Computer science,Heuristics,Artificial intelligence,Strip packing
Conference
Volume
ISSN
ISBN
4881
0302-9743
3-540-77225-1
Citations 
PageRank 
References 
10
0.51
15
Authors
2
Name
Order
Citations
PageRank
Pablo Garrido128212.57
María Cristina Riff220023.91