EL № FS 77 - 30569. №0421100025. ISSN 1994-0408

List of literature

1.           Weise T. Global Optimization Algorithms – Theory and Application: Ph.D. thesis / University of Kassel.- 2008.

2.           Beni G., Wang J. Swarm Intelligence // Annual Meeting of the Robotics Society: Proceedings of Seventh International Conference.– Tokyo: RSJ Press, 1989.– pp. 425–428.

3.           Bonabeau E., Dorigo M., Theraulaz G. Swarm Intelligence: From Natural to Artificial Systems. – New York: Oxford University Press, 1999. – 320 p.

4.           Karaboga D. An idea based on honey bee swarm for numerical optimization. Technical report - TR06, Erciyes University, Engineering Faculty, Computer Engineering Department 2005.

5.           Pham D.T., Ghanbarzadeh A., Koc E, Otri S, Rahim S., Zaidi M. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005

6.           Pham D.T., Ghanbarzadeh A., Koc E., Otri S., Rahim S., Zaidi M. The Bees Algorithm – A Novel Tool for Complex Optimisation Problems Manufacturing Engineering Centre, Cardiff University, Cardiff CF24 3AA, UK.

7.           Python Programming Language - Official Website [Elektronnyi resurs] // (http://pkolt.ru/pages/python/).

8.           Tang K., Yao X., Suganthan P.N., MacNish C., Chen Y.P., Chen C.M., Yang Z. Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization. - Nature Inspired Computation and Applications Laboratory, USTC, China, 2007.

9.           Chong S.C., Low M.Y.H. A Bee Colony Optimization Algorithm to Job Shop Scheduling // Winter Simulation Conference: Proceedings of the 38th Conference on Winter simulation. –Monterey: Monterey Press, 2006. – P. 1954–1961.

10.      Lučić P., Teodorović D. Bee System: Modeling Combinatorial Optimization Transportation Engineering Problems by Swarm Intelligence // Transportation Analysis: Proceedings of the Triennial Symposium TRISTAN IV. – Sao Miguel: Azores Press, 2001. – P. 441–445.

11.      Teodorović D., Dell’Orco M. Bee Colony Optimization – a Cooperative Learning Approach to Complex Transportation Problems // Advanced OR and AI Methods in Transportation: Proceedings of 16th Mini–EURO Conference and 10th Meeting of EWGT (13-16 September 2005). – Poznan: Publishing House of the Polish Operational and System Research, 2005. – P. 51–60.

12.      Nakrani S., Tovey C. On Honey Bees and Dynamic Allocation in an Internet Server Colony // Adaptive Behavior. – 2004. – ╧12. – P. 223–240.

13.      Quijano N., Passino K.M. Honey Bee Social Foraging Algorithms for Resource Allocation: Theory and Application. – Columbus: Publishing House of the Ohio State University, 2007. – 39 p.

14.      Sumpter D.J.T., Broomhead D.S. Formalising the Link between Worker and Society in Honey Bee Colonies // Lecture Notes in Computer Science: Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation.– MABS ’98 LNAI, 1998.– pp. 95–110.

15.      Oleinik Al.A. , Subbotin S.A. Intellektual'nyi metod mul'tiagentnogo poiska poiska v mnogomernom prostranstve s ispol'zovaniem pryamoi svyazi mejdu agentami // SkladnЁ sistemi Ё procesi, 2008, ╧2.- s. 102 108.