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2014 | 2 | 529--538
Tytuł artykułu

Dispersive Flies Optimisation

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the main sources of inspiration for techniques applicable to complex search space and optimisation problems is nature. This paper proposes a new metaheuristic - Dispersive Flies Optimisation or DFO - whose inspiration is beckoned from the swarming behaviour of flies over food sources in nature. The simplicity of the algorithm, which is the implementation of one such paradigm for continuous optimisation, facilitates the analysis of its behaviour. A series of experimental trials confirms the promising performance of the optimiser over a set of benchmarks, as well as its competitiveness when compared against few other well-known population based algorithms. In addition to diversity, the performance of the newly introduced algorithm is investigated using the three performance measures of accuracy, efficiency and reliability.(original abstract)
Rocznik
Tom
2
Strony
529--538
Opis fizyczny
Twórcy
  • Goldsmiths University of London
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171327073

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