Optimal ISA-PID-Based Drug Concentration Control in Cancer Chemotherapy

  • Pandey Vivek
  • Pachauri Nikhil
  • Rani Asha
  • Singh Vijander
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

The aim of this work is to design an efficient controller for optimum scheduling of drug during cancer treatment. The conceptual design of ISA-PID controller is applied for this purpose, and its parametric values are optimized by applying the cuckoo search algorithm (CSA) which results to the CSA-ISAPID controller. The simulated annealing (SA) and genetic algorithm (GA) are also used for comparative study. Simulation results reveal that CSA-ISAPID is able to control drug concentration more precisely in comparison with other designed controllers with minimum overshoot and settling time. Further results demonstrate that reduction in cancerous cells is high for CSA-ISAPID.

Keywords

Cancer chemotherapy ISA-PID Genetic algorithm (GA) Simulated annealing (SA) Cuckoo search algorithm (CSA) 

References

  1. 1.
    S. Algoul, M. S. Alam, M. A. Hossain, M. A. A. Majumder “ Multi-objective optimal chemotherapy control model for cancer treatment”, Med Biol Eng Comput 49, 51–65 (2011).Google Scholar
  2. 2.
    Martin R, Teo KL “Optimal control of drug administration in chemotherapy tumour growth”. World Scientific, Singapore, 1–10 (1994).Google Scholar
  3. 3.
    S. Khadraoui, F. Harrou, H. N. Nounou, M. N. Nounou, A. Datta, S. P. Bhattacharyya “A measurement- based control design approach for efficient cancer chemotherapy”, Information Science 333, 108–125 (2016).Google Scholar
  4. 4.
    S. Algoul, M. S. Alam, M. A. Hossain, M. A. A. Majumder; “MOGA-Based Multi-drug Optimization for Cancer Chemotherapy” 5th International Conference on Practical Applications of Computational Biology & Bioinformatics of the series Advances in Intelligent and Soft Computing 133–140 (2011).Google Scholar
  5. 5.
    S. Algoul, M. S. Alam, M. A. Hossain, M. A. A. Majumder; “Chemotherapy Drug Scheduling: A Particle Swarm Optimization Approach” Dhaka University Journal of Science, 61, 35–40 (2013).Google Scholar
  6. 6.
    Ubaid Imtiaz, Sudhanshu S. Jamuar, J. N. Sahu, P. B. Ganesan, Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers, Journal of Process Control, 24, 1761–1777 (2011).Google Scholar
  7. 7.
    Gandomi, A. H., Yang, X.-S., and Alavi, A. H., Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng Comput. 29, 17–35 (2013).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Pandey Vivek
    • 1
  • Pachauri Nikhil
    • 1
  • Rani Asha
    • 1
  • Singh Vijander
    • 1
  1. 1.Instrumentation and Control Engineering DivisionNSITNew DelhiIndia

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