Sperm Motility Algorithm for Solving Fractional Programming Problems under Uncertainty

This paper investigated solving Fractional Programming Problems under Uncertainty (FPPU) using Sperm Motility Algorithm. Sperm Motility Algorithm (SMA) is a novel metaheuristic algorithm inspired by fertilization process in human, was proposed for solving optimization problems by Osama and Hezam [1]...

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Veröffentlicht in:	International journal of advanced computer science & applications 2017-01, Vol.8 (5)
Hauptverfasser:	Abdel, Osama, M., Bayoumi, M., Ibrahim
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coefficients Comparative studies Fuzzy logic Genetic algorithms Heuristic methods Mathematical programming Monte Carlo simulation Motility Optimization Parameter uncertainty Random variables Recommender systems Sperm Statistical analysis
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