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Volumn 4115 LNBI -III, Issue , 2006, Pages 12-21

A novel AGO algorithm with adaptive parameter

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; HEURISTIC METHODS; OPTIMIZATION; PROBLEM SOLVING;

EID: 33749540150     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11816102_2     Document Type: Conference Paper
Times cited : (6)

References (19)
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    • Dorigo, M.1    Caro, G.D.2    Gambardella, L.M.3
  • 2
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    • Ant colony system: A cooperative learning approah to the travelling salesman problem
    • Dorigo, M., Gambardella, L.M.: Ant Colony System: A Cooperative Learning Approah to the Travelling Salesman Problem. IEEE Transactions on Evolutionary Computation, 1(1), (1997) 53-66
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    • Dorigo, M.1    Gambardella, L.M.2
  • 4
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    • Ageneralized convergence result for the graph-based ant system metaheuristic
    • Department of Statistics and Decision Support Systems, University of Vienna, Austria
    • Gutjahr, W.J.: Ageneralized Convergence Result for the Graph-Based Ant System Metaheuristic. Tech. Report 99-09, Department of Statistics and Decision Support Systems, University of Vienna, Austria (1999)
    • (1999) Tech. Report , vol.99 , Issue.9
    • Gutjahr, W.J.1
  • 5
    • 0033738317 scopus 로고    scopus 로고
    • Agraph-based ant system and its convergence
    • Gutjahr, W.J.: Agraph-Based Ant System and Its Convergence. Future Gen. Comput. Systems 16 (9) (2000) 873-888
    • (2000) Future Gen. Comput. Systems , vol.16 , Issue.9 , pp. 873-888
    • Gutjahr, W.J.1
  • 6
    • 0037118189 scopus 로고    scopus 로고
    • ACO algorithms with guaranteed convergence to the optimal solution
    • Gutjahr, W.J.: ACO Algorithms with Guaranteed Convergence to the Optimal Solution. Information Processing Letters 82 (2002) 145-153
    • (2002) Information Processing Letters , vol.82 , pp. 145-153
    • Gutjahr, W.J.1
  • 7
    • 0036670452 scopus 로고    scopus 로고
    • A short convergence proof for a class of ant colony optimization algorithms
    • Stützle, T., Dorigo M.: A Short Convergence Proof for a Class of Ant Colony Optimization Algorithms. IEEE Transactions on Evolutionary Computation 6 (4) (2002) 358-365
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.4 , pp. 358-365
    • Stützle, T.1    Dorigo, M.2
  • 9
    • 27644543634 scopus 로고    scopus 로고
    • Ant colony optimization theory: A survey
    • Dorigo, M., Blum, C.: Ant colony optimization theory: A survey. Theoretical Computer Science 344 (2005) 243-278
    • (2005) Theoretical Computer Science , vol.344 , pp. 243-278
    • Dorigo, M.1    Blum, C.2
  • 10
    • 1342264192 scopus 로고    scopus 로고
    • A proof of convergence for ant algorithms
    • Badr, A., Fahmy, A.: A Proof of Convergence for Ant Algorithms. Information Sciences 160 (2004) 267-279
    • (2004) Information Sciences , vol.160 , pp. 267-279
    • Badr, A.1    Fahmy, A.2
  • 11
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    • ACO algorithm with additional reinforcement
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    • Fidanova, S.: ACO Algorithm with Additional Reinforcement. M. Dorigo et al. (Eds.): ANTS 2002, LNCS 2463 (2002) 292-293
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    • Fidanova, S.1
  • 12
    • 33749582378 scopus 로고    scopus 로고
    • Convergence proof for a monte carlo method for combinatorial optimization problems
    • M. Bubak et al. (Eds.):ICCS 2004
    • Fidanova, S.: Convergence Proof for a Monte Carlo Method for Combinatorial Optimization Problems. M. Bubak et al. (Eds.):ICCS 2004, LNCS 3039 (2004) 523-530
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    • Fidanova, S.1
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    • Using genetic algorithms to optimize ACS-TSP
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    • Pilat, M.L., White, T.: Using Genetic Algorithms to Optimize ACS-TSP. M. Dorigo et al. (Eds.):ANTS 2002, LNCS 2463, (2002) 282-287
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    • April
    • Blum, C., Dorigo, M.: Search Bias in Ant Colony Optimization: On the Role of Competition-Balanced Systems. IEEE Transactions on evolutionary computation, Vol. 9 No. 2 April (2005)
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    • Blum, C.1    Dorigo, M.2
  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.