caa a22 4500 445851686 CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s11227-011-0585-5 doi (NATIONALLICENCE)springer-10.1007/s11227-011-0585-5 A parameterized shared-memory scheme forparameterized metaheuristics [Elektronische Daten] [Francisco Almeida, Domingo Giménez, Jose López-Espín] 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. Springer Science+Business Media, LLC, 2011 Parallel metaheuristics nationallicence Shared-memory nationallicence Parameterized algorithms nationallicence Algorithms optimization nationallicence Almeida Francisco Departamento de Estadística, Investigación Operativa y Computación, University of La Laguna, La Laguna, Spain aut Giménez Domingo Departamento de Informática y Sistemas, University of Murcia, Murcia, Spain aut López-Espín Jose Centro de Investigación Operativa, University Miguel Hernández, Elche, Spain aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/3(2011-12-01), 292-301 0920-8542 58:3<292 2011 58 11227 https://doi.org/10.1007/s11227-011-0585-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-011-0585-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Almeida Francisco Departamento de Estadística, Investigación Operativa y Computación, University of La Laguna, La Laguna, Spain aut NATIONALLICENCE 700 1- Giménez Domingo Departamento de Informática y Sistemas, University of Murcia, Murcia, Spain aut NATIONALLICENCE 700 1- López-Espín Jose Centro de Investigación Operativa, University Miguel Hernández, Elche, Spain aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/3(2011-12-01), 292-301 0920-8542 58:3<292 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer