ssFPA/DE: an efficient hybrid differential evolution–flower pollination algorithm based approach

Meera Ramadas (), Millie Pant, Ajith Abraham and Sushil Kumar
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Meera Ramadas: AIIT, Amity University
Millie Pant: Indian Institute of Technology
Ajith Abraham: MIR Labs
Sushil Kumar: CSE, ASET, Amity University

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 1, No 23, 216-229

Abstract: Abstract Evolutionary algorithm is a field of great interest to many researchers around the world. New algorithms are developed based on biological processes that exist in nature. In addition, different variants of the existing algorithms are also created with researchers working to find the most optimal method. This paper initially introduces Differential Evolution (DE) and Flower Pollination Algorithm (FPA). Subsequently, a description of the hybrid algorithm named ssFPA/DE that uses the search strategy of FPA and DE are explained along with their results.

Keywords: Optimisation; Levy; Mutation; Crossover; Probability; Generation; Selection; Pollination; Gametes (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s13198-016-0534-z

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