Genetic and Evolutionary Computing by Václav Snášel, Jeng-Shyang Pan, Pavel Krömer

By Václav Snášel, Jeng-Shyang Pan, Pavel Krömer

-Presents fresh study in Genetic and Evolutionary Computing
-Proceedings of the is the seventh foreign convention on Genetic and Evolutionary Computing ICGEC 2013 held in Prague, Czech Republic, August 25-27 2013
-Written through best specialists within the field

Genetic and Evolutionary Computing

This quantity of Advances in clever structures and Computing includes approved papers offered at ICGEC 2013, the seventh foreign convention on Genetic and Evolutionary Computing. The convention this 12 months was once technically co-sponsored through The Waseda college in Japan, Kaohsiung college of utilized technological know-how in Taiwan, and VSB-Technical college of Ostrava. ICGEC 2013 was once held in Prague, Czech Republic. Prague is without doubt one of the most pretty towns on this planet whose magical surroundings has been formed over ten centuries. areas of the best vacationer curiosity are at the Royal direction working from the Powder Tower via Celetna highway to outdated city sq., then throughout Charles Bridge during the Lesser city as much as the Hradcany citadel. One usually are not pass over the Jewish city, and the nationwide Gallery with its fantastic number of Czech Gothic artwork, number of previous ecu paintings, and a stunning number of French art.

The convention was once meant as a world discussion board for the researchers and pros in all components of genetic and evolutionary computing. the most issues of ICGEC 2013 integrated clever Computing, Evolutionary Computing, Genetic Computing, and Grid Computing.

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1(97), p. 5. University of michigan press, Ann Arbor (1975) 12. : Hybrid simplex artificial bee colony algorithm and its application in material dynamic parameter back analysis of concrete dams. Journal of Hydraulic Engineering 6, 014 (2009) 13. : An idea based on honey bee swarm for numerical optimization. Technical report tr06, Erciyes University Press, Erciyes (2005) 14. : A comprehensive survey: Artificial Bee Colony (ABC) algorithm and applications. Artificial Intelligence Review, 1–37 (2012) 15.

Overall, SwarmRW has shown successful performance on test functions. It outperforms ABC on all instances, is quite simple to implement and makes use of a single parameter, easing the process of parameter selection. 5 Conclusion and Future Work This paper presented SwarmRW, a new algorithm for continuous unconstrained optimization problems. It was tested on eleven well-known benchmark functions, and performed favorably compared with PSO, PSO–TVAC, HPSO–TVAC, and ABC, with regards to precision as well as execution time.

Expert Systems with Applications 32(1), 213–222 (2007) 8. : Ant colony optimization for the two-dimensional loading vehicle routing problem. Computers & Operations Research 36(3), 655–673 (2009) 9. : A particle swarm optimization for reactive power and voltage control in electric power systems. In: Proceedings of the 2001 Congress on Evolutionary Computation, vol. 1, pp. 87–93 (2001) 10. : Tabu search – part i. ORSA Journal on Computing 1(3), 190–206 (1989) 11. : Adaptation in natural and artificial systems, vol.

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