Paper Info
Title
A parameterized shared-memory scheme for parameterized metaheuristics
Abstract
Abstract This paper presents a parameterized shared-memory scheme for parameterized metaheuristics. The use of a parameterized metaheuristic facilitates experimentation with different metaheuristics and hybridation/combinations to adapt them to the particular problem we are working with. Due to the large number of experiments necessary for the metaheuristic selection and tuning, parallelism should be used to reduce the execution time. To obtain parallel versions of the metaheuristics and to adapt them to the characteristics of the parallel system, a unified parameterized shared-memory scheme is developed. Given a particular computational system and fixed parameters for the sequential metaheuristic, the appropriate selection of parameters in the unified parallel scheme eases the development of parallel efficient metaheuristics.
Year
DOI
Venue
2011
10.1007/s11227-011-0585-5
The Journal of Supercomputing
Keywords
Field
DocType
Parallel metaheuristics,Shared-memory,Parameterized algorithms,Algorithms optimization
Parameterized complexity,Parallel metaheuristic,Shared memory,Computer science,Parallel computing,Theoretical computer science,Execution time,Metaheuristic,Parameterized algorithms
Journal
Volume
Issue
ISSN
58
3
0920-8542
Citations 
PageRank 
References 
4
0.46
4
Authors
3
Name
Order
Citations
PageRank
F. Almeida134349.54
Domingo Giménez218033.64
Jose-Juan López-Espín340.80