AN IMPROVED ARTIFICIAL BEE COLONY ALGORITHM WITH LOCAL SEARCH FOR TRAVELING SALESMAN PROBLEM
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TAYLOR & FRANCIS INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study aims to solve the traveling salesman problem for small, medium, and large traveling salesman problems taken from the TSPLIB with known solutions, by using an improved artificial bee colony algorithm that is a swarm intelligence-based heuristic algorithm. The improvement process is achieved by using a loyalty function that is used in bee colony optimization as a fitness function used in ABC algorithms. Obtained solutions are compared to solutions from the TSPLIB and the results of cunkas and ozsaglam's (2009) study, which includes the solutions for benchmark problems and cities and counties in Turkey according to the genetic algorithm and particle swarm optimization.
Açıklama
Anahtar Kelimeler
traveling salesman problem, opt-2 local search, artificial bee colony algorithm, opt-2 local search
Kaynak
CYBERNETICS AND SYSTEMS
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
45
Sayı
8
