Random-key cuckoo search for the travelling salesman problem

Verfasser / Beitragende:
[Aziz Ouaarab, Belaïd Ahiod, Xin-She Yang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/4(2015-04-01), 1099-1106
Format:
Artikel (online)
ID: 605469997
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024 7 0 |a 10.1007/s00500-014-1322-9  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1322-9 
245 0 0 |a Random-key cuckoo search for the travelling salesman problem  |h [Elektronische Daten]  |c [Aziz Ouaarab, Belaïd Ahiod, Xin-She Yang] 
520 3 |a Combinatorial optimization problems are typically NP-hard, and thus very challenging to solve. In this paper, we present the random-key cuckoo search (RKCS) algorithm for solving the famous travelling salesman problem (TSP). We used a simplified random-key encoding scheme to pass from a continuous space (real numbers) to a combinatorial space. We also consider the displacement of a solution in both spaces using Lévy flights. The performance of the proposed RKCS is tested against a set of benchmarks of symmetric TSP from the well-known TSPLIB library. The results of the tests show that RKCS is superior to some other metaheuristic algorithms. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Nature-inspired metaheuristic  |2 nationallicence 
690 7 |a Cuckoo search  |2 nationallicence 
690 7 |a Lévy flights  |2 nationallicence 
690 7 |a Random key  |2 nationallicence 
690 7 |a Combinatorial optimization  |2 nationallicence 
690 7 |a Travelling salesman problem  |2 nationallicence 
700 1 |a Ouaarab  |D Aziz  |u LRIT, Associated Unit to the CNRST (URAC) No 29, Mohammed V-Agdal University, B.P. 1014, Rabat, Morocco  |4 aut 
700 1 |a Ahiod  |D Belaïd  |u LRIT, Associated Unit to the CNRST (URAC) No 29, Mohammed V-Agdal University, B.P. 1014, Rabat, Morocco  |4 aut 
700 1 |a Yang  |D Xin-She  |u School of Science and Technology, Middlesex University, The Burroughs, NW4 4BT, London, UK  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 1099-1106  |x 1432-7643  |q 19:4<1099  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1322-9  |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/s00500-014-1322-9  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ouaarab  |D Aziz  |u LRIT, Associated Unit to the CNRST (URAC) No 29, Mohammed V-Agdal University, B.P. 1014, Rabat, Morocco  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ahiod  |D Belaïd  |u LRIT, Associated Unit to the CNRST (URAC) No 29, Mohammed V-Agdal University, B.P. 1014, Rabat, Morocco  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yang  |D Xin-She  |u School of Science and Technology, Middlesex University, The Burroughs, NW4 4BT, London, UK  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 1099-1106  |x 1432-7643  |q 19:4<1099  |1 2015  |2 19  |o 500