Introducing the Hundredth Monkey Effect: An Efficient Metaheuristic for Fast Convergence in the Least Squares Minimization Problem

dc.authorid0000-0003-4845-870X
dc.contributor.authoryashar salami
dc.date.accessioned2026-01-29T07:47:22Z
dc.date.available2026-01-29T07:47:22Z
dc.date.issued17.12.2025
dc.departmentKapadokya Üniversitesi
dc.description.abstract—In the face of escalating demand for high-speed optimization algorithms, particularly for complex and time sensitive problems, developing a rapid metaheuristic method is a significant challenge. This paper introduces the Hundredth Monkey Effect as a new metaheuristic approach focusing on enhancing speed and convergence efficiency in solving optimization problems, specifically the Least Squares Minimization Problem. Simulations show that the Hundredth Monkey Effect algorithm outperforms Genetic Algorithms (GA), Simulated Annealing (SA), and Bee Colony Optimization (BCO) in terms of rapid convergence. This substantial improvement in both speed and convergence underscores the practicality and efficiency of the Hundredth Monkey Effect in addressing complex, time-sensitive optimization problems.
dc.identifier.urihttps://hdl.handle.net/20.500.12695/3986
dc.institutionauthorsalami, Yashar
dc.institutionauthorid0000-0003-4845-870X
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.titleIntroducing the Hundredth Monkey Effect: An Efficient Metaheuristic for Fast Convergence in the Least Squares Minimization Problem
dc.typeConference Object

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