Hybrid Max-Min ant system with four vertices and three lines inequality for traveling salesman problem

Verfasser / Beitragende:
[Wang Yong]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/3(2015-03-01), 585-596
Format:
Artikel (online)
ID: 605469423
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024 7 0 |a 10.1007/s00500-014-1279-8  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1279-8 
100 1 |a Yong  |D Wang  |u School of Renewable Energy, North China Electric Power University, 102206, Beijing, China  |4 aut 
245 1 0 |a Hybrid Max-Min ant system with four vertices and three lines inequality for traveling salesman problem  |h [Elektronische Daten]  |c [Wang Yong] 
520 3 |a The objective of traveling salesman problem (TSP) is to find the optimal Hamiltonian circuit (OHC). It has been proven to be NP complete in most cases. The hybrid Max-Min ant system (MMA) integrated with a four vertices and three lines inequality is introduced to search the OHC. The four vertices and three lines inequality is taken as the constraints of the local optimal Hamiltonian paths (LOHP), including four vertices and three lines and all the LOHPs in the OHC conform to the inequality. At first, the MMA is used to search the approximate OHCs. Then, the local paths of adjacent four vertices in the approximate OHCs are converted into the LOHPs with the four vertices and three lines inequality to get the better approximation. The hybrid Max-Min ant system (HMMA) is tested with tens of TSP instances. The results show that the better approximations are computed with the HMMA than those with the MMA under the same preconditions. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Traveling salesman problem  |2 nationallicence 
690 7 |a Max-Min ant system  |2 nationallicence 
690 7 |a Four vertices and three lines inequality  |2 nationallicence 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/3(2015-03-01), 585-596  |x 1432-7643  |q 19:3<585  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1279-8  |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/s00500-014-1279-8  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Yong  |D Wang  |u School of Renewable Energy, North China Electric Power University, 102206, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/3(2015-03-01), 585-596  |x 1432-7643  |q 19:3<585  |1 2015  |2 19  |o 500