ADAPTIVE DYNAMIC SELF-LEARNING GREY WOLF OPTIMIZATION ALGORITHM FOR SOLVING GLOBAL OPTIMIZATION PROBLEMS AND ENGINEERING PROBLEMS

Adaptive dynamic self-learning grey wolf optimization algorithm for solving global optimization problems and engineering problems

The grey wolf optimization algorithm (GWO) is a new metaheuristic algorithm.The GWO has the advantages of simple structure, few parameters to adjust, and high efficiency, and has been applied in various cashel tail bag optimization problems.However, the orginal GWO search process is guided entirely by the best three wolves, resulting in low populat

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Consensus recommendations on fasting during Ramadan for patients with kidney disease: review of available evidence and a call for action (RaK Initiative)

cashel tail bag Abstract Ramadan fasting (RF) involves abstaining from food and drink during daylight hours; it is obligatory for all healthy Muslims from the age of puberty.Although sick individuals are exempt from fasting, many will fast anyway.This article explores the impact of RF on individuals with kidney diseases through a comprehensive revi

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Isolation of a novel multiple-heavy metal resistant Lampropedia aestuarii GYF-1 and investigation of its bioremediation potential

Abstract Background Heavy metal contamination has been a severe worldwide environmental issue.For industrial pollutions, heavy metals rarely exist as singular entities.Hence, researches have increasingly focused on the detrimental effect of mixed aptamil allerpro heavy metal pollution.Genome analysis of Lampropedia strains predicted a repertoire of

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