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Volumn , Issue , 2004, Pages 28-34

Ant colony optimization for job shop scheduling problem

Author keywords

Ant colony optimization; Foot Stepping; Job shop scheduling; Metaheuristic

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEURISTIC PROGRAMMING; INFORMATION ANALYSIS; METADATA; PROBLEM SOLVING; SCHEDULING;

EID: 10444278143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (16)
  • 1
    • 0002012598 scopus 로고    scopus 로고
    • The ant colony optimization meta-heuristic
    • edited by D. Corne, M.Dorigo, and F. Glover, McGraw-Hill
    • M.Dorigo & G.Di Caro, The ant colony optimization meta-heuristic, in New Ideas in Optimization, edited by D. Corne, M.Dorigo, and F. Glover, McGraw-Hill, pp. 11-32, 1999.
    • (1999) New Ideas in Optimization , pp. 11-32
    • Dorigo, M.1    Di Caro, G.2
  • 4
    • 0033084695 scopus 로고    scopus 로고
    • Ant algorithms for discrete optimization
    • M. Dorigo, G. Di Caro & L. M. Gambardella, Ant Algorithms for Discrete Optimization, Artificial Life, 5(2): 137-172, 1999.
    • (1999) Artificial Life , vol.5 , Issue.2 , pp. 137-172
    • Dorigo, M.1    Di Caro, G.2    Gambardella, L.M.3
  • 7
    • 0037272238 scopus 로고    scopus 로고
    • Ant colony optimization with global pheromone evaluation for scheduling a single machine
    • Kluwer Academic Publishers
    • D Merkle & M. Middendorf, Ant Colony Optimization with Global Pheromone Evaluation for Scheduling a Single Machine, Journal of Applied Intelligence, Kluwer Academic Publishers, pp, 105-111, 2003.
    • (2003) Journal of Applied Intelligence , pp. 105-111
    • Merkle, D.1    Middendorf, M.2
  • 8
    • 0031122887 scopus 로고    scopus 로고
    • Ant colony system: A cooperative learning approach to the traveling salesman problem
    • M. Dorigo & L.M. Gambardella, Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem, IEEE Transactions on Evolutionary Computation, 1(1):53-66, 1997.
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , Issue.1 , pp. 53-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 10
    • 0001834106 scopus 로고    scopus 로고
    • MACSVRPTW: A multiple ant colony system for vehicle routing problems with time window
    • David Corne, Marco Dorigo, and Fred Glover, editors, McGraw-Hill, London
    • L. M, Gambardella, E. Taillard & G. Agazzi, MACSVRPTW: A Multiple Ant Colony System for Vehicle Routing Problems with Time Window, in David Corne, Marco Dorigo, and Fred Glover, editors, New Ideas in Optimization, pp.63-76, McGraw-Hill, London, 1999.
    • (1999) New Ideas in Optimization , pp. 63-76
    • Gambardella, L.M.1    Taillard, E.2    Agazzi, G.3
  • 11
    • 84974686417 scopus 로고    scopus 로고
    • ACO applied to group shop scheduling: A case study on intensification and diversification
    • ANTS 2002, Brussels, Belgium, vol. 2463, Lecture Notes in Computer Science, M. Dorigo, G. Di Caro, and M. Sampels, Eds. Berlin: Springer-Verlag
    • C. Blum, ACO Applied to Group Shop Scheduling: A Case Study on Intensification and Diversification, in Proceedings of the 3rd International Workshop on Ant Algorithms, ANTS 2002, Brussels, Belgium, vol. 2463, Lecture Notes in Computer Science, M. Dorigo, G. Di Caro, and M. Sampels, Eds. Berlin: Springer-Verlag, 2002, pp. 14-27.
    • (2002) Proceedings of the 3rd International Workshop on Ant Algorithms , pp. 14-27
    • Blum, C.1
  • 14
    • 0345671714 scopus 로고    scopus 로고
    • An ant colony optimization algorithm for FOP shop scheduling: A case study on different pheromone representations
    • C. Blum & M. Sampels, An ant Colony Optimization Algorithm for FOP Shop Scheduling: A case study on different pheromone representations, Proceedings of the 2002 Congress on Evolutionary Computation, CEC'02, pp. 1558-1563, 2002.
    • (2002) Proceedings of the 2002 Congress on Evolutionary Computation, CEC'02 , pp. 1558-1563
    • Blum, C.1    Sampels, M.2
  • 16
    • 10444242786 scopus 로고    scopus 로고
    • OR Library, URL http://mscmga.ms.ic.ac.uk


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.