New chaotic flower pollination algorithm for unconstrained non-linear optimization functions

Arvinder Kaur, Saibal K. Pal and Amrit Pal Singh ()
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Arvinder Kaur: USICT, GGSIPU
Saibal K. Pal: SAG, DRDO
Amrit Pal Singh: USICT, GGSIPU

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 4, No 11, 853-865

Abstract: Abstract Flower pollination algorithm (FPA) is susceptible to local optimum and substandard precision of calculations. Chaotic operator (CO), which is used in local algorithms to optimize the best individuals in the population, can successfully enhance the properties of the flower pollination algorithm. A new chaotic flower pollination algorithm (CFPA) has been proposed in this work. Further FPA and its four proposed variants by using different chaotic maps are tested on nine mathematical benchmark functions of high dimensions. Proposed variants of CFPA are CFPA1, CFPA2, CFPA3 and CFPA4. The result of the experiment indicates that the proposed chaotic flower pollination variant CFPA2 could increase the precision of minimization of function value and CPU time to run an algorithm.

Keywords: Chaos theory; Flower pollination algorithm; Function optimization; Non-linear functions (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s13198-017-0664-y

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