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Volumn 6025 LNCS, Issue PART 2, 2010, Pages 421-430

Using an evolutionary algorithm to discover low CO2 tours within a travelling salesman problem

Author keywords

[No Author keywords available]

Indexed keywords

CARBON DIOXIDE; EVOLUTIONARY ALGORITHMS;

EID: 77952398844     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12242-2_43     Document Type: Conference Paper
Times cited : (17)

References (18)
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    • 0015604699 scopus 로고
    • An effective heuristic algorithm for the travelling salesman problem
    • Lin, S., Kernighan, B.W.: An effective heuristic algorithm for the travelling salesman problem. Operations Research 21, 498-516 (1973)
    • (1973) Operations Research , vol.21 , pp. 498-516
    • Lin, S.1    Kernighan, B.W.2
  • 8
    • 84958984173 scopus 로고    scopus 로고
    • New genetic local search operators for the travelling salesman problem
    • Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.), Springer, Heidelberg
    • Freisleben, B., Merz, P.: New genetic local search operators for the travelling salesman problem. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol.1141, pp. 890-899. Springer, Heidelberg (1996)
    • (1996) PPSN 1996. LNCS , vol.1141 , pp. 890-899
    • Freisleben, B.1    Merz, P.2
  • 10
    • 0008340102 scopus 로고
    • A new approach on the travelling salesman problem by genetic algorithms
    • Forrest, S. (ed.), Morgan Kaufmann, San Francisco
    • Homaifar, A., Guan, S., Liepins, G.E.: A new approach on the travelling salesman problem by genetic algorithms. In: Forrest, S. (ed.) Proceedings of the 5th International Conference on Genetic Algorithms, pp. 460-466. Morgan Kaufmann, San Francisco (1993)
    • (1993) Proceedings of the 5th International Conference on Genetic Algorithms , pp. 460-466
    • Homaifar, A.1    Guan, S.2    Liepins, G.E.3
  • 11
    • 0242274879 scopus 로고    scopus 로고
    • A hybrid genetic algorithm, simulated annealing and tabu search heuristic for vehicle routing problems with time windows
    • Thangiah, S.R.: A hybrid genetic algorithm, simulated annealing and tabu search heuristic for vehicle routing problems with time windows. Practical Handbook of Genetic Algorithms, Complex Coding Systems III, 347-381 (1999)
    • (1999) Practical Handbook of Genetic Algorithms, Complex Coding Systems , vol.3 , pp. 347-381
    • Thangiah, S.R.1
  • 12
    • 0003086003 scopus 로고
    • Multiple vehicle routing with time and capacity constraints using genetic algorithms
    • Forrest, S. (ed.), Morgan Kaufmann, San Francisco
    • Blanton, J.L., Wainright, R.L.: Multiple vehicle routing with time and capacity constraints using genetic algorithms. In: Forrest, S. (ed.) Proceedings of the 5th International Conference on Genetic Algorithms, pp. 452-459. Morgan Kaufmann, San Francisco (1993)
    • (1993) Proceedings of the 5th International Conference on Genetic Algorithms , pp. 452-459
    • Blanton, J.L.1    Wainright, R.L.2
  • 14
    • 77952376653 scopus 로고    scopus 로고
    • Traffic management and air quality: Realistic driving cycles for traffic management schemes
    • Green, J.M., Barlow, T.J.: Traffic management and air quality: realistic driving cycles for traffic management schemes. Technical Report TRL Report TRL596 (2004)
    • (2004) Technical Report TRL Report TRL596
    • Green, J.M.1    Barlow, T.J.2
  • 15
  • 16
    • 77952402864 scopus 로고    scopus 로고
    • Act on co2 calculator: Data, methodology and assumptions paper
    • Act on co2 calculator: Data, methodology and assumptions paper. Department for Environment, Food and Rural Affairs (2008)
    • (2008) Department for Environment, Food and Rural Affairs
  • 18
    • 77952370047 scopus 로고    scopus 로고
    • Department for the Environment, Food and Rural Affairs. Results from the National Atmospheric Emissions Inventory (NAEI)
    • Department for the Environment, Food and Rural Affairs. Results from the National Atmospheric Emissions Inventory (NAEI), http://www.naei.org.uk/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.