Abstract
This paper proposes Cohort Intelligence (CI) method as an effective approach for the optimization of constrained engineering design problems. It employs a probability-based constraint handling approach in lieu of the commonly used repair methods, which exhibits the inherent robustness of the CI technique. The approach is validated by solving three design problems. The solutions to these problems are compared to those evaluated from Simple Constrained Particle Swarm Optimizer (SiC-PSO) and Co-evolutionary Particle Swarm Optimization based on Simulated Annealing (CPSOSA) (Cagnina et al., Informatica 32(3):319–326, [1]). The performance of Cohort Intelligence method is discussed with respect to best solution, standard deviation, computational time, and cost.
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Shastri, A.S., Thorat, E.V., Kulkarni, A.J., Jadhav, P.S. (2019). Optimization of Constrained Engineering Design Problems Using Cohort Intelligence Method. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_1
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DOI: https://doi.org/10.1007/978-981-13-1610-4_1
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