A Future Perspective Survey on Bio-inspired algorithms based self-organization techniques for GA
Keywords:genetic algorithm, self-organization, evolutionary computing, bio-inspired, survey
Genetic algorithms (GAs) are the most important evolutionary computation technique that is used to solve various complex problems that involve a large search space. To have a performance improvement over GA the concept of Hybrid genetic algorithms that were inspired by the biological behavior of different living beings was put to use to solve the NP-completeness problems. In this paper, a survey on the various recent working HGA with bio-inspired algorithms that exhibits self-organization behavior is performed. This paper discusses the various Biological self-organization behaviors and the generalized self-organization behaviors that are used to solve combinatorial optimization problems. This paper helps the scholars and researchers to have a better understanding on the bio-inspired based self-organization techniques for Genetic algorithm so that they can formulate new algorithms based on existing SO techniques.
 Wan-li, X., & Mei-qing, A. (2013). An efficient and robust artificial bee colony algorithm for numerical optimization. Computers & Operations Research, 40, 1256â€“1265.
 R.C. Chakraborty â€œFundamentals of genetic algorithms: AI course Lectures 39-40â€ June 10,2010
 Amir Hossein Gandomi , Amir Hossein Alavi â€œKrill herd: A new bio-inspired optimization algorithmâ€, Commun Nonlinear SciNumerSimulat 17(2012) 4831-4845, May 2012.
 PouryaHoseini , Mahrokh G. Shayesteh â€œEfficient contrast enhancement of images using hybrid ant colony optimisation, genetic algorithm, and simulatedvalue form the annealingâ€, Digital Signal Processing 23 (2013) 879â€“893, Dec 2012.
 Xiang Feng1, Xiaoting Liu1, Huiqun Yu1 â€œGroup mosquito host-seeking algorithmâ€ Springer Science+Business Media New York 2015
 Xiang Feng a, Francis C.M. Lau b, Huiqun Yu a â€œA novel bio-inspired approach based on the behaviour of mosquitoesâ€ Elsevier 2013
 Erik Cuevas , Miguel Cienfuegos â€œA new algorithm inspired in the behavior of the social-spider for constrained optimizationâ€ Elsevier 2013
 Dimitrios Chrysostomou c, Georgios Ch. Sirakoulis ,AntoniosGasteratos â€œA bio-inspired multi-camera system for dynamic crowd analysisâ€ Elsevier 2013
 Gandomi AH. Yang X-S, Alavi AH. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Engineering with Computers, in the press. DOI 10.1007/s00366-011-0241-y.
 D. Beasley, D. R. Bull, R, and R. Martin, "An overview of genetic algorithms: part 1, fundamentals," University Computing, vol. 15, pp. 58-69, 1993.
 P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K. Vivekanandan and R. Subramanian, â€œA new population seeding technique for permutation-coded Genetic Algorithm: Service transfer approachâ€, Journal of Computational Science, Elsevier, Issue 5, 2014, pp. 277â€“297. ISSN: 1877-7503.
 P. Victer Paul, N. Moganarangan, S. Sampath Kumar, R. Raju, T. Vengattaraman, P. Dhavachelvan, â€œPerformance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problemsâ€, Applied Soft Computing, Elsevier, Volume 32, July 2015, pp. 383â€“402.
 P. Victer Paul, N. Saravanan, S.K.V. Jayakumar, P. Dhavachelvan and R. Baskaran, â€œQoS enhancements for global replication management in peer to peer networksâ€, Future Generation Computer Systems, Elsevier, Volume 28, Issue 3, March 2012, Pages 573â€“582.
 P. Victer Paul, D. Rajaguru, N. Saravanan, R. Baskaran and P. Dhavachelvan, "Efficient service cache management in mobile P2P networks", Future Generation Computer Systems, Elsevier, Volume 29, Issue 6, August 2013, Pages 1505â€“1521.
 R. Baskaran, P. Victer Paul and P. Dhavachelvan, "Analytical Inspection for Replica Management in WANET using Distributed Spanning Tree", IEEE International Conference on Recent Trends in Information Technology, May 2012, Chennai, pp.297 - 301.
 R. Baskaran, P. Victer Paul and P. Dhavachelvan, "Algorithm and Direction for Analysis of Global Replica Management in P2P Network", IEEE International Conference on Recent Trends in Information Technology, May 2012, Chennai, pp.211 - 216.
 N. Saravanan, R. Baskaran, M. Shanmugam, M.S. SaleemBasha and P. Victer Paul, "An Effective Model for QoS Assessment in Data Caching in MANET Environments", International Journal of Wireless and Mobile Computing, Inderscience, Vol.6, No.5, 2013, pp.515-5