Abstract: Aging is an inevitable process in nature. Almost each and every organism grows older with time. This process of being older makes the population grow at a normal pace and maintain the balance among species. This Aging mechanism can be applied on various problems and optimal solutions can be found. If a leader has a good leading power, it can live longer serve its population in a better way, else if a leader does not have the much needed capability to lead its population and it grows older, some new particles may come up to challenge and claim the leadership and this process can bring diversity in the population. This paper presents the aging theories related to the aging mechanism and an Aging leader algorithm is presented.
Keywords: Particle Swarm Optimization, Aging Leader, Lifespan, Population, Performance, Challenger, Leader, Aging, global search, premature convergence.
Title: Aging Theories and the Aging Leader Algorithm with Challenger
Author: Avneet Kaur
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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