Read e-book online Cuckoo Search and Firefly Algorithm: Theory and Applications PDF

By Xin-She Yang (auth.), Xin-She Yang (eds.)

ISBN-10: 3319021400

ISBN-13: 9783319021409

ISBN-10: 3319021419

ISBN-13: 9783319021416

Nature-inspired algorithms equivalent to cuckoo seek and firefly set of rules became renowned and well-known lately in lots of functions. those algorithms are versatile, effective and simple to enforce. New growth has been made within the previous few years, and it's well timed to summarize the newest advancements of cuckoo seek and firefly set of rules and their different functions. This e-book will evaluate either theoretical stories and functions with designated set of rules research, implementation and case experiences in order that readers can gain so much from this booklet. software subject matters are contributed through many best specialists within the box. issues comprise cuckoo seek, firefly set of rules, set of rules research, characteristic choice, picture processing, vacationing salesman challenge, neural community, GPU optimization, scheduling, queuing, multi-objective production optimization, semantic internet carrier, form optimization, and others.

This publication can function an awesome reference for either graduates and researchers in laptop technology, evolutionary computing, laptop studying, computational intelligence, and optimization, in addition to engineers in enterprise intelligence, wisdom administration and knowledge technology.

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Additional resources for Cuckoo Search and Firefly Algorithm: Theory and Applications

Sample text

On the other hand, a group of particles is capable of intelligent behavior which is appropriate for solving complex problems in Nature. Therefore, it is no coincidence that these biological systems have also inspired computer scientists to imitate their intelligent behavior for solving complex problems in mathematics, physics, engineering, etc. Moreover, interest in researching various biological systems has increased recently. These various biological systems have been influenced by swarm intelligence (SI) that can be viewed as an artificial intelligence (AI) discipline concerned with the designing of intelligent systems.

1(4), 330–343 (2010) 81. : Multiobjective cuckoo search for design optimization. Comput. Oper. Res. 40(6), 1616–1624 (2013) 82. : Swarm Intelligence and Bio-inspired Computation: Theory and Applications. Elsevier, Waltham (2013) 83. : Cuckoo search algorithm for the selection of optimal machine parameters in milling operations. Int. J. Adv. Manuf. Technol. (2012). 1007/s00170-012-4013-7 84. : Scheduling jobs on grid computing using firefly algorithm. J. Theor. Appl. Inform. Technol. 33(2), 155–164 (2011) 85.

Firefly and artificial bees colony algorithm for synthesis of scanned and broadside linear array antenna. Prog. Electromagn. Res. B 32, 169–190 (2011) 8. : Two-dimensional intermittent search processes: An alternative to Lévy flight strategies. Phys. Rev. E74, 020102(R) (2006) 9. : Cuckoo search: a new nature-inspired optimization method for phase equilibrium calculations. Fluid Phase Equilib. 337, 191–200 (2013) 10. : Metaheuristics in combinatorial optimisation: overview and conceptural comparision.

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Cuckoo Search and Firefly Algorithm: Theory and Applications by Xin-She Yang (auth.), Xin-She Yang (eds.)


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