Artificial bee and differential evolution improved by clustering search on continuous domain optimization
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605468869 | ||
| 003 | CHVBK | ||
| 005 | 20210128100319.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1500-9 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1500-9 | ||
| 245 | 0 | 0 | |a Artificial bee and differential evolution improved by clustering search on continuous domain optimization |h [Elektronische Daten] |c [Tarcísio Costa, Alexandre de Oliveira] |
| 520 | 3 | |a Clustering Search (*CS) has been proposed as a generic way of combining search metaheuristics with clustering to detect promising search areas before applying local search procedures. The clustering process may keep representative solutions associated with different search subspaces. In this paper, new approaches are proposed, based on *CS, as an Artificial Bee Colony-based one, which detects promising food sources alike *CS approaches. The other new *CS approach is based on Differential Evolution (DE) algorithm. The DE is just a CS component (the evolutionary algorithm), different from ABC-based approach, called Artificial Bee Clustering Search (ABCS). ABCS tries to find promising solutions using some concepts from CS. The proposed hybrid algorithms, performing a Hooke and Jeeves-based local, are compared to another hybrid approaches, exploring an elitist criteria to apply local search. The experiments show that the proposed ABCS and Differential Evolutionary Clustering Search (DECS) are competitive for the majority continuous optimization functions benckmarks selected in this paper. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Clustering Search |2 nationallicence | |
| 690 | 7 | |a Artificial Bee Colony |2 nationallicence | |
| 690 | 7 | |a Promising areas |2 nationallicence | |
| 690 | 7 | |a Hybrid approaches |2 nationallicence | |
| 700 | 1 | |a Costa |D Tarcísio |u Federal Institute of Maranhão, Pacas Street 5, Pinheiro Campus, Pinheiro, Brazil |4 aut | |
| 700 | 1 | |a de Oliveira |D Alexandre |u Federal University of Maranhão, Portugueses Avenue, No Number, Bacanga Campus, São Luís, Brazil |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/9(2015-09-01), 2457-2468 |x 1432-7643 |q 19:9<2457 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1500-9 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1500-9 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Costa |D Tarcísio |u Federal Institute of Maranhão, Pacas Street 5, Pinheiro Campus, Pinheiro, Brazil |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a de Oliveira |D Alexandre |u Federal University of Maranhão, Portugueses Avenue, No Number, Bacanga Campus, São Luís, Brazil |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/9(2015-09-01), 2457-2468 |x 1432-7643 |q 19:9<2457 |1 2015 |2 19 |o 500 | ||