Transform of Artificial Immune System algorithm optimization based on mathematical test function

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Artificial Immune System (AIS) is inspired by nature biological immune system. AIS algorithm has ability to improve the global searching during optimization. However, hypermutation of AIS itself cannot always guarantee a better solution for convergence and accuracy. Therefore Genetic Algorithm (GA) has been used efficiently in solving complex optimization problems. The capability of individual algorithm can makes the new algorithm techniques more efficiency by overcome the shortcomings and without losing their own advantages. This paper demonstrates a hybrid algorithm known as Transform of Artificial Immune System (Trans-AIS) by combining AIS and GA algorithm. There are three mathematical test function are used for comparison to achieve the minimum value which are Rastrigin's, DeJong's and Griewank's functions. In this paper, the simulation of the test function results by using AIS and Trans-AIS will compare with optimization results by other researchers. By comparing the results, it is observed that the performance of Trans-AIS is comparable (if not superior) to other researchers' algorithm.

Original languageEnglish
Title of host publicationProceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-150
Number of pages4
ISBN (Electronic)9781509011780
DOIs
Publication statusPublished - 05 Apr 2017
Event6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 - Batu Ferringhi, Penang, Malaysia
Duration: 25 Nov 201627 Nov 2016

Publication series

NameProceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016

Other

Other6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
CountryMalaysia
CityBatu Ferringhi, Penang
Period25/11/1627/11/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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  • Cite this

    Yaw, M. W., Chong, K. H., & Kamil, K. (2017). Transform of Artificial Immune System algorithm optimization based on mathematical test function. In Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 (pp. 147-150). [7893561] (Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2016.7893561