Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem

Research output: Contribution to conferencePaper

Abstract

Over the past decade, several researchers have presented various optimisation algorithms for use in truss design. The no free lunch theorem implies that no optimisation algorithm fits all problems; therefore, the interest is not only in the accuracy and convergence rate of the algorithm but also the tuning effort and population size required for achieving the optimal result. The latter is particularly crucial for computationally intensive or high-dimensional problems. Contrast-based Fruit-fly Optimisation Algorithm (c-FOA) proposed by Kanarachos et al. in 2017 is based on the efficiency of fruit flies in food foraging by olfaction and visual contrast. The proposed Spontaneous Fruit Fly Optimisation (s-FOA) enhances c-FOA and addresses the difficulty in solving nonlinear optimisation algorithms by presenting standard parameters and lean population size for use on all optimisation problems. Six benchmark problems were studied to assess the performance of s-FOA. A comparison of the results obtained from documented literature and other investigated techniques demonstrates the competence and robustness of the algorithm in truss optimisation.
Original languageEnglish
Publication statusPublished - 24 Sep 2019
EventInternational Conference on Sustainable Materials and Energy Technologies - Coventry University, Coventry, United Kingdom
Duration: 12 Sep 201913 Sep 2019
http://www.isest.org/icsmet2019/

Conference

ConferenceInternational Conference on Sustainable Materials and Energy Technologies
Abbreviated titleICSMET 2019
CountryUnited Kingdom
CityCoventry
Period12/09/1913/09/19
Internet address

Keywords

  • math.OC
  • cs.CE

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    Onyekpe, U., Kanarachos, S., & Fitzpatrick, M. E. (2019). Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. Paper presented at International Conference on Sustainable Materials and Energy Technologies, Coventry, United Kingdom.