Abstract
This paper introduces a novel type-based genetic algorithm and its applications to two well-known problems: N-queen problem and finding the global minimum of the Rosenbrock function. The algorithm offers a new approach to internal structure of individuals in population of genetic algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ansótegui, C., Sellmann, M., Tierney, K.: A gender-based genetic algorithm for the automatic configuration of algorithms. In: Gent, I.P. (ed.) Principles and Practice of Constraint Programming - CP 2009, 15th International Conference, CP 2009, Lisbon, 20–24 September 2009, Proceedings. Lecture Notes in Computer Science, vol. 5732, pp. 142–157. Springer (2009)
Blumel, A.L., Hughes, E.J., White, B.A.: Multi-objective evolutionary design of fuzzy autopilot controller. In: Zitzler et al. [8], pp. 668–680
Erickson, M., Mayer, A., Horn, J.: The niched pareto genetic algorithm 2 applied to the design of groundwater remediation systems. In: Zitzler et al. [8], pp. 681–695
Goldberg, D.E.: Genetic Algorithms in Search. Optimization and Machine Learning, 1st edn. Addison-Wesley Longman Publishing Co., Inc., Boston (1989)
Rosenbrock, H.H.: An automatic method for finding the greatest or least value of a function. Comput. J. 3(3), 175–184 (1960)
Sánchez-Velazco, J., Bullinaria, J.A.: Sexual selection with competitive/co-operative operators for genetic algorithms. In: Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, NCI 2003, 19–21 May 2003, Cancun, pp. 191–196. IASTED/ACTA Press (2003)
Thompson, M.: Application of multi objective evolutionary algorithms to analogue filter tuning. In: Zitzler et al. [8], pp. 546–559
Zitzler, E., Deb, K., Thiele, L., Coello, C.A.C., Corne, D. (eds.): Evolutionary Multi-Criterion Optimization, First International Conference, EMO 2001, Zurich, 7–9 March 2001, Proceedings. Lecture Notes in Computer Science, vol. 1993. Springer (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Sizov, R., Simovici, D.A. (2020). Type-Based Genetic Algorithms. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-32258-8_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32257-1
Online ISBN: 978-3-030-32258-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)