Investigation of cricket behaviours as evolutionary computation for system design optimization problems

Abstract In this study, the behaviours of an insect species called cricket were investigated and tried to develop a new meta-heuristic algorithm approach that may be used in solving optimization problems by modelling these behaviours. These insect species make a sound by flapping their wings and attract the other crickets around them. While creating this algorithm, the physics laws related to propagation of sound as well as the crickets ability to predict the temperature with the number of flaps were also considered. The approach performance was tried to be shown by applying the developed approach at the end of the study to both numeric problems and cantilever stepped and welded beam that are of system design optimization problems.

[1]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[2]  Hartley,et al.  Sound production in crickets , 1995, The Journal of experimental biology.

[3]  O. Hasançebi,et al.  Bat inspired algorithm for discrete size optimization of steel frames , 2014, Adv. Eng. Softw..

[4]  G. Vanderplaats,et al.  Survey of Discrete Variable Optimization for Structural Design , 1995 .

[5]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[6]  Sudhanshu K. Mishra,et al.  Some New Test Functions for Global Optimization and Performance of Repulsive Particle Swarm Method , 2006 .

[7]  Singiresu S. Rao.  Engineering Optimization : Theory and Practice , 2010 .

[8]  Ting-Yu Chen,et al.  Mixed–discrete structural optimization using a rank-niche evolution strategy , 2009 .

[9]  Z. K. Silagadze.  FINDING TWO-DIMENSIONAL PEAKS , 2004 .

[10]  Jasbir S. Arora,et al.  Introduction to Optimum Design , 1988 .

[11]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[12]  Hakimeh Vojodi,et al.  A Multilevel Thresholding Approach Based on Levy-Flight Firefly Algorithm , 2011, 2011 7th Iranian Conference on Machine Vision and Image Processing.

[13]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[14]  R. Kortet,et al.  Hiding behaviour in two cricket populations that differ in predation pressure , 2006, Animal Behaviour.

[15]  Dervis Karaboga,et al.  Artificial bee colony algorithm for large-scale problems and engineering design optimization , 2012, J. Intell. Manuf..

[16]  Xin-She Yang,et al.  Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..

[17]  Xin-She Yang,et al.  Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.

[18]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[19]  Ya-Xiang Yuan,et al.  Optimization Theory and Methods: Nonlinear Programming , 2010 .

[20]  Berthold Hedwig,et al.  Pulses, patterns and paths: neurobiology of acoustic behaviour in crickets , 2006, Journal of Comparative Physiology A.

[21]  Brian Mulloney,et al.  A multichannel electronic monitor of acoustic behaviors, and software to parse individual channels , 2004, Journal of Neuroscience Methods.

[22]  W. D. Brown,et al.  Mate choice in tree crickets and their kin. , 1999, Annual review of entomology.

[23]  A. E. Dolbear,et al.  The Cricket as a Thermometer , 1897, The American Naturalist.

[24]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[25]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[26]  James L. Larsen,et al.  The Sound of Crickets. , 2009 .

[27]  David M. Howard,et al.  Acoustics and Psychoacoustics , 2006 .

[28]  Fred Glover,et al.  Tabu Search - Part II , 1989, INFORMS J. Comput..

[29]  Elden F. Ray,et al.  Applications of Attenuations and Reflections in ISO 9613-2, Acoustics – Attenuation of Sound During Propagation Outdoors – Part 2: General Method of Calculation , 2004 .

[30]  Adil Baykasoglu,et al.  An improved firefly algorithm for solving dynamic multidimensional knapsack problems , 2014, Expert Syst. Appl..

[31]  Dervis Karaboga,et al.  Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.