Discrete Krill herd algorithm-A bio-inspired meta-heuristics for graph based network route optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8337 LNCS, Issue , 2014, Pages 152-163

  Sur, Chiranjib ^a   Shukla, Anupam ^a  

^a INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

combinatorial optimization; Discrete Krill Herd Algorithm; path planning in graphs; vehicle route optimization

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMBINATORIAL OPTIMIZATION; COMPUTATIONAL COMPLEXITY; GRAPHIC METHODS; HEURISTIC ALGORITHMS; INTERNET; MOTION PLANNING;

ANT COLONY OPTIMIZATION (ACO); EVALUATION FUNCTION; INTELLIGENT WATER DROPS (IWD); META-HEURISTIC SEARCH ALGORITHMS; OPTIMIZATION PROBLEMS; OPTIMIZATION SOLUTION; ROUTE OPTIMIZATION; VEHICLE ROUTE OPTIMIZATION;

ANT COLONY OPTIMIZATION;

EID: 84958535877     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-04483-5_17     Document Type: Conference Paper

References (14)

1. Everson, I. (ed.): Krill-Biology, Ecology and Fisheries. Blackwell Science Ltd. (2000)
2. Tarling, G., Lesser, M. (eds.): Advances in Marine Biology, vol. 57. Academic Press, Elsevier (2010)
3. Yang, Z., Lu, S., Liu, X.: Combined Traffic Signal Control and Route Guidance: Multiple User Class Traffic Assignment Model versus Discrete Choice Model. In: IMACS Multiconference on Computational Engineering in Systems Applications, October 4-6, vol. 2, pp. 1957-1964 (2006)
4. Krill (2012), http://en.wikipedia.org/wiki/Krill
5. Gandomi, A.H., Alavi, A.H.: Krill Herd: a new bio-inspired optimization algorithm. Communications in Nonlinear Science and Numerical Simulation 17(12), 4831-4845 (2012)
6. Alves, D., van Ast, J., Cong, Z., De Schutter, B., Babusandka, R.: Ant colony optimization for traffic dispersion routing. In: 2010 13th International IEEE Conference on Intelligent Transportation Systems(ITSC), pp. 683-688 (2010)
7. Zong, X., Xiong, S., Fang, Z., Li, Q.: Multi-ant colony system for evacuation routing problem with mixed traffic flow. In: 2010 IEEE Congress on Evolutionary Computation (CEC), pp. 1-6 (2010)
8. Wang, G., Guo, L., Duan, H., Wang, H., Liu, L., Li, J.: Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Computing and Applications.
9. Wang, G., Guo, L., HosseinGandomi, A., et al.: Lévy-Flight Krill Herd Algorithm. Mathematical Problems in Engineering 2013, Article ID 682073, 14 pages (2013)
10. Dorigo, M., Gambardella, L.M.: Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation 1(1), 53-66 (1997)
11. Shah-Hosseini, H.: The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm. International Journal of Bio-Inspired Computation 1(1/2), 71-79 (2009)
12. Krishnanand, K., Ghose, D.: Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions. Swarm Intelligence 3(2), 87-124 (2009)
13. Yang, X.-S.: Firefly algorithms for multimodal optimization. In: Watanabe, O., Zeugmann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169-178. Springer, Heidelberg (2009)
14. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE Int. Conf. Neural Networks, vol. 4, pp. 1942-1948 (1995)