Adaptive bees algorithm : bioinspiration from honeybee foraging to optimize fuel economy of a semi-track air-cushion vehicle
Issue Date
2011-01-04Subjects
adaptive bees algorithmbioinspiration
adaptive patch size adjustment
semi-track air-cushion vehicle
fuel economy optimization
Metadata
Show full item recordAbstract
This interdisciplinary study covers bionics, optimization and vehicle engineering. Semi-track air-cushion vehicle (STACV) provides a solution to transportation on soft terrain, whereas it also brings a new problem of excessive fuel consumption. By mimicking the foraging behaviour of honeybees, the bioinspired adaptive bees algorithm (ABA) is proposed to calculate its running parameters for fuel economy optimization. Inherited from the basic algorithm prototype, it involves parallel-operated global search and local search, which undertake exploration and exploitation, respectively. The innovation of this improved algorithm lies in the adaptive adjustment mechanism of the range of local search (called ‘patch size’) according to the source and the rate of change of the current optimum. Three gradually in-depth experiments are implemented for 143 kinds of soils. First, the two optimal STACV running parameters present the same increasing or decreasing trend with soil parameters. This result is consistent with the terramechanics-based theoretical analysis. Second, the comparisons with four alternative algorithms exhibit the ABA's effectiveness and efficiency, and accordingly highlight the advantage of the novel adaptive patch size adjustment mechanism. Third, the impacts of two selected optimizer parameters to optimization accuracy and efficiency are investigated and their recommended values are thus proposed.Citation
Xu, S. et al (2011) 'Adaptive Bees Algorithm--Bioinspiration from Honeybee Foraging to Optimize Fuel Economy of a Semi-Track Air-Cushion Vehicle' The Computer Journal 54 (9):1416Publisher
Oxford University PressJournal
The Computer JournalAdditional Links
http://comjnl.oxfordjournals.org/cgi/doi/10.1093/comjnl/bxq097Type
ArticleLanguage
enISSN
0010-46201460-2067
ae974a485f413a2113503eed53cd6c53
10.1093/comjnl/bxq097