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Volumn 451, Issue , 2013, Pages 259-271

Dynamic fuzzy logic parameter tuning for ACO and its application in TSP problems

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EID: 84870533431     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33021-6_21     Document Type: Article
Times cited : (64)

References (12)
  • 3
    • 84919633535 scopus 로고    scopus 로고
    • Prospects for dynamic algorithm control: Lessons from the phase structure of ant scheduling algorithms
    • Heckendorn, R.B. (ed. Workshop "The Next Ten Years of Scheduling Research". Kaufmann Publishers
    • Merkle, D., Middendorf, M.: Prospects for dynamic algorithm control: Lessons from the phase structure of ant scheduling algorithms. In: Heckendorn, R.B. (ed.) Proceedings of the 2000 Genetic and Evolutionary Computation Conference -Workshop Program. Workshop "The Next Ten Years of Scheduling Research". Morgan Kaufmann Publishers (2001
    • (2001) Proceedings of the 2000 Genetic and Evolutionary Computation Conference -Workshop Program
    • Merkle, D.1    Middendorf, M.2
  • 5
    • 34547600083 scopus 로고    scopus 로고
    • Adaptive ant colony optimization algorithm based on information entropy foundation and application
    • Li, Y., Li, W.: Adaptive ant colony optimization algorithm based on information entropy, Foundation and application. Fundamenta Informaticae (2007
    • (2007) Fundamenta Informaticae
    • Li, Y.1    Li, W.2
  • 6
    • 84870565261 scopus 로고    scopus 로고
    • University of Heidelberg
    • Reinelt, G.: TSPLIB. University of Heidelberg, http://comopt.ifi.uni- heidelberg.de/software/TSPLIB95/
    • TSPLIB
    • Reinelt, G.1
  • 10
    • 78751621343 scopus 로고    scopus 로고
    • An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms
    • Valdez, F., Melin, P., Castillo, O.: An Improved Evolutionary Method with Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms. Applied Soft Computing 11, 2625-2632 (2011
    • (2011) Applied Soft Computing , vol.11 , pp. 2625-2632
    • Valdez, F.1    Melin, P.2    Castillo, O.3
  • 12
    • 38149093331 scopus 로고    scopus 로고
    • Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds. ICCS 2007, Part IV. LNCS Springer, Heidelberg
    • Hao, Z.-F., Huang, H., Qin, Y., Cai, R.: An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2007, Part IV. LNCS, vol. 4490, pp. 1167-1170. Springer, Heidelberg (2007
    • (2007) An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail , vol.4490 , pp. 1167-1170
    • Hao, Z.-F.1    Huang, H.2    Qin, Y.3    Cai, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.