Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design

@article{Kulkarni2018ConstrainedCI,
  title={Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design},
  author={Omkar Kulkarni and Ninad Kulkarni and Anand Jayant Kulkarni and Ganesh M. Kakandikar},
  journal={International Journal of Parallel, Emergent and Distributed Systems},
  year={2018},
  volume={33},
  pages={570 - 588}
}
AbstractMost of the metaheuristics can efficiently solve unconstrained problems; however, their performance may degenerate if the constraints are involved. [] Key Method The approaches have been tested by solving several constrained test problems. The performance of the SCI and DCI have been compared with algorithms like GA, PSO, ABC, d-Ds. In addition, as well as three real world problems from mechanical engineering domain with improved solutions. The results were satisfactory and validated the…
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