Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Nonlinear Dynamical Systems using Ant Colony Optimisation

Abdullah Nkosi Corresponding 0000-0002-4708-5207
Imperial College London
Shahriar Oliveira
Islamic University of Technology
Rubel Diallo 0000-0002-0278-7869
University of Dhaka

Abstract

Growing populations and rapid industrialisation place unprecedented demands on wireless communication networks across South Asia. The framework couples ant colony optimisation with an optimisation routine to identify near-optimal designs. Results indicate that nonlinear dynamical systems can be improved by up to 17% under the recommended configuration. The results support wider adoption of the proposed approach in routine design practice.
Keywords: nonlinear dynamical systemsant colony optimisationparticle swarm optimisationsupport vector machinewastewater treatmentphotonic crystal fibre

References

  1. Hassan, T., & Singh, P. (2004). Convolutional neural networks in municipal waste systems. IEEE Transactions on Power Systems, 38(5), 290-310.
  2. Okafor, F. (1994). Network intrusion detection in industrial automation. Cement and Concrete Research, 39(2), 7-23.
  3. Kim, K., & Garcia, A. (1996). Induction motor drives in telecommunication infrastructure. Science of the Total Environment, 12(2), 152-166.

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