Mobile ad hoc networks (MANETs) does not depend upon the access points or it is an infrastructure less network that connects multiple nodes. The structure of the mobile network may alter frequently and in expected way. In mobile ad-hoc network (MANET), due to mobility of nodes. Energy consumption of nodes is important problem in MANET. In such scenario, link breaks in mobile network, when the battery power of a node is depleted and it results to stops services. Efficient shortest distance paths from source node to destination node is another a critical design issue in mobile ad hoc networks. Genetic Algorithm (GAs) gives the best possible solution to such kind of problems. Genetic algorithm has been used successfully in different applications. Genetic Algorithm will be helpful to minimize the route multiple times when any failure happens during transmission.This paper is giving the brief survey of genetic algorithm in mobile ad-hoc network.

Mobile Ad-hoc Network (MANET), Energy Efficient Routing Protocols, Reactive Protocol, Genetic Algorithm (GA).

[1]. E. Alotaibi and‎ B.‎Mukherjee, ‎“A survey on routing algorithms for wireless Ad-Hoc and mesh networks,”Computer Networks: The International Journal of Computer and Telecommunications Networking, vol.56, no.2, pp. 940–965, October 2011.
[2]. Anju Sharma, Madhavi Sinha, “A Differential Evaluation Algorithm For Routing Optimization In Mobile Ad Hoc Networks”, The Birla Institute Of Technology, Jaipur Mesra, Ranchi Campus Jaipur, Rajasthan, International Journal Of Computer Science And Network (IJCSN),Volume 1, Issue 4, Www.Ijcsn.Org ISSN 2277-5420,Pages 109-115, August 2012.
[3]. Gao, J., Shen, Y., Jiang, X., & Li, J. (2015). “Source Delay in Mobile Ad Hoc Networks”. Ad-hoc Networks, 24(Part A), 109–120.
[4]. T R Gopalakrishnan Nair, Kavitha Sooda & R Selvarani. (2014) “ A Qos Based Routing Approach Using Genetic Algorithms For Bandwidth Maximization In Networks ” International Journal of Artificial Intelligence and Soft Computing, Volume 4 Issue 1.
[5]. Anju Sharma, Madhavi sinha. ‘‘A Differential Evaluation Algorithm for routing Optimization in Mobile Ad-hoc networks’’ International Journal of Computer Science and Network (IJCSN) Volume 1, Issue 4, August 2015 www.ijcsn.org ISSN 2277-5420.
[6]. Sangeetha, K., Periasamy, P.S., Prakash, S.: Identification of network intrusion with efficient Genetic Algorithm using Bayesian classifier. In: International Conference on Computer Communication and Informatics (ICCCI), pp. 1–4 (2015)
[7]. Arun Biradar, Dr. Ravindra C. Thool, Performance Evaluation of Mobile Ad-hoc Networks Routing Protocols to Employ Genetic Algorithm, 3rd World Congress on Information and Communication Technologies (WICT 2013), 15-18 December 2013, Hanoi, Vietnam, IEEE.
[8]. Arun Biradar, Dr. Ravindra C. Thool, Reliable Genetic Algorithm Based Intelligent Routing for MANET,World Congress on Computer Applications and Information Systems, WCCAIS‘2014, Hammamet, January 17-19, 2014.

[9]. Shengxiang Yang, Member, IEEE, Hui Cheng, and Fang Wang, Member, IEEE, “Genetic Algorithms with Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks”, in proc. IEEE transactions on systems, man, and cyberneticspart C: applications and reviews, vol. 40, no. 1, January 2010, pp. 52-63.
[10]. Rakesh K. 2012 Rakesh K. and Jyotishree, "Effect Of Polygamy With Selection In Genetic Algorithms", International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol. 2, 2012.
[11]. Arun Biradar, Dr. Ravindra C. Thool, Performance Evaluation of Mobile Ad-hoc Networks Routing Protocols to Employ Genetic Algorithm, 3rd World Congress on Information and Communication Technologies (WICT 2013), 15-18 December 2013, Hanoi, Vietnam, IEEE.
[12]. Arun Biradar, Dr. Ravindra C. Thool, Reliable Genetic Algorithm Based Intelligent Routing for MANET,World Congress on Computer Applications and Information Systems, WCCAIS‘2014, Hammamet, January 17-19, 2014.
[13]. Thamilarasu, G.: Genetic algorithm based intrusion detection system for wireless body area networks. In: IEEE Symposium on Computers and Communication (ISCC), pp. 160–165 (2015).
[14]. Desale, K.S., Ade, R.: Genetic algorithm based feature selection approach for effective intrusion detection system. In: International Conference on Computer Communication and Informatics (ICCCI), pp. 1–6 (2015).
[15]. Arunraja, M., Malathi, V., Sakthivel, E.: Distributed energy efficient clustering algorithm for wireless sensor networks. J. Microelectron. Electron. Compon. Mater. 45(3), 180–187 (2015).
[16]. Kannammal, K., Purusothaman, T., Manjusha, M.: An efficient cluster based routing in wireless sensor networks. J. Theor. Appl. Inf. Technol. 59(3), 683–689 (2014).
[17]. Umesh Kumar Singh et.al, On Mechanism to Prevent Cooperative Black Hole Attack in Mobile Ad Hoc Networks, International Journal of Scientific Research in Computer Science & Engineering, Vol-3(1), PP (11-15) Feb 2015, E-ISSN: 2320-7639.
[18]. M. Bandyopadhyay et. all, “Emphasis on Genetic Algorithm (GA) Over Different PID Tuning Methods of Controlling Servo System Using MATLAB” , International Journal of Scientific Research in Computer Science & Engineering,Vol-1, Issue-3, PP (8-13) May- June 2013, ISSN: 2320-7639.