Abstract
Over the years, technology has played a crucial role in the advancement of the society. In achieving human like intelligence in machines, computational Intelligence plays an important role due to development of software algorithms imitating biological inspired intelligence behavior. In this paper we have briefed about that the evolution of computational intelligence over the years, starting from Turing Test to the present-day Swarm Intelligence. Also, the importance of CI and AI is highlighted by considering some major approaches like Fuzzy systems, Artificial Neural Networks, Evolutionary computation, Perception, Natural language processing, cognitive thinking. In this paper, the analysis of travelling salesman problem along with vehicle routing problem is presented using the approach of ant colony optimization. Finally, the applications of CI in the areas of space applications, driving cognition, and Bioinformatics are described.
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References
Bezdek C (2016) (Computational) Intelligence: what's in a name? IEEE Syst Man Cybern Mag 2
Wang K (2001) Computational intelligence in agile manufacturing engineering. Agile Manufacturing the 21st Century Competitive Strategy. Elsevier Science Ltd, Oxford, UK
Heudin JC (1995) Artificial life and evolutionary computing in machine perception. In: Proceedings of conference on computer architectures for machine perception. IEEE, pp 418–428
Siganos D, Stergiou C (1996) Neural networks, the human brain, and learning. Imperial College London: Surveys and Presentations in Information Systems Engineering
Beni G, Wang J (1993) Swarm intelligence in cellular robotic systems. In: Robots and biological systems: towards a new bionics? Springer, Berlin, Heidelberg
Zhang W et al (2017) Comprehensive overview on computational intelligence techniques for machinery condition monitoring and fault diagnosis. Chin J Mech Eng 30(4)
Pramod P, Tripathy PK, Bajpai H, Kounte MR (2019) Role of natural language processing and deep learning in intelligent machines. In: IEEE international conference on electrical, communication, electronics, instrumentation and computing (ICECEIC), Kanchipuram, India.
Colorni A, Dorigo M, Maniezzo V (1992) Distributed optimization by ant colonies. In: Proceedings of the first European conference on artificial life
Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput
Fuentes G, Martinez-Contreras U, Parada-Gonzalez M, Woocay-Prieto A (2018) A case study using ant colony optimization approach to provide a shortest route plan to evaluate the maintenance needs in elementary schools in Northern Chihuahua mexico. In: 2018 systems and information engineering design symposium (SIEDS). IEEE
Pan T, Pan H, Gao J (2015) An improved ant colony algorithm based on vehicle routing problem. In: 2015 34th Chinese control conference (CCC). IEEE
Stodola P, Mazal J, Podhorec M, Litvaj O (2014) Using the ant colony optimization algorithm for the capacitated vehicle routing problem. In: Proceedings of the 16th international conference on mechatronics-Mechatronika. IEEE
Wang M (2012) Hybrid behavior ant colony algorithm for Vehicle Routing Problem. In: Fourth international conference on computational and information sciences. IEEE
Carwalo T, Patil V (2015) Solving vehicle routing problem using ant colony optimization with nodal demand
Kelemen A, Vasilakos AV, Liang Y (2009) Computational intelligence in bioinformatics: SNP/haplotype data in genetic association study for common diseases. IEEE Trans Inf Technol Biomed
Simha CY, Harshini VM, Raghuvamsi LVS, Kounte MR (2018) Enabling technologies for internet of things & it’s security issues. In: 2018 second international conference on intelligent computing and control systems (ICICCS). IEEE
Virat MS, Bindu SM, Aishwarya B, Dhanush BN, Kounte MR (2018) Security and privacy challenges in internet of things. In: 2018 2nd international conference on trends in electronics and informatics (ICOEI). IEEE
Bandyopadhyay S, Maulik U, Roy D (2007) Gene identification: classical and computational intelligence approaches. IEEE Trans Syst Man Cybern C (Appl Rev)
Naveen S, Kounte MR (2020) In Search of the future technologies: fusion of machine learning, fog and edge computing in the internet of things. In: Pandian A, Senjyu T, Islam S, Wang H (eds) Proceeding of the international conference on computer networks, big data and IoT (ICCBI-2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham
Kamble SJ, Kounte MR (2019) Routing and scheduling issues in vehicular ad-hoc networks. Int J Recent Technol Eng (IJRTE) 8(3):4272–4283. ISSN: 2277-3878
Kamble SJ, Kounte MR (2020) Enabling technologies for internet of vehicles. In: Pandian A, Senjyu T, Islam S, Wang H (eds) Proceeding of the international conference on computer networks, big data and IoT (ICCBI-2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham
Lin C-T, Ko L-W, Shen T-K (2009) Computational intelligent brain computer interaction and its applications on driving cognition. IEEE Comput Intell Mag
Zhu Y, Luo Y, Tan KC, Qiu X (2017) An intelligent packing programming for space station extravehicular missions. IEEE Comput Intell Mag
Yuen P, Gao Y, Griffiths A, Coates A, Muller J-P, Smith A, Walton D, Leff C, Hancock B, Shin D (2013) ExoMars Rover PanCam: autonomous & computational intelligence [application notes]. IEEE Comput Intell Mag
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The authors would like to thank Management and Chancellor of REVA University for the support to carry out research activities.
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Kounte, M.R., Niveditha, E., Afrose, K., Sai Sudeshna, A. (2022). Problem Solving Techniques Using Ant Colony Optimization in Computational Intelligence. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2020. Lecture Notes in Electrical Engineering, vol 783. Springer, Singapore. https://doi.org/10.1007/978-981-16-3690-5_68
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