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Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems

Deepak Kumar, Mamta Rani

Source Title: International Journal of Applied Metaheuristic Computing (IJAMC)13(1)

ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799885405|DOI: 10.4018/IJAMC.292520

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MLA

Kumar, Deepak, and Mamta Rani. "Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems." IJAMC vol.13, no.1 2022: pp.1-39. http://doi.org/10.4018/IJAMC.292520

APA

Kumar, D. & Rani, M. (2022). Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-39. http://doi.org/10.4018/IJAMC.292520

Chicago

Kumar, Deepak, and Mamta Rani. "Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems," International Journal of Applied Metaheuristic Computing (IJAMC) 13, no.1: 1-39. http://doi.org/10.4018/IJAMC.292520

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Abstract

In this study, we consider a switching strategy that yields a stable desirable dynamic behaviour when it is applied alternatively between two undesirable dynamical systems. From the last few years, dynamical systems employed “chaos1 + chaos2 = order” and “order1 + order2 = chaos” (vice-versa) to control and anti control of chaotic situations. To find parameter values for these kind of alternating situations, comparison is being made between bifurcation diagrams of a map and its alternate version, which, on their own, means independent of one another, yield chaotic orbits. However, the parameter values yield a stable periodic orbit, when alternating strategy is employed upon them. It is interesting to note that we look for stabilization of chaotic trajectories in nonlinear dynamics, with the assumption that such chaotic behaviour is not desirable for a particular situation. The method described in this paper is based on the Parrondo’s paradox, where two losing games can be alternated, yielding a winning game, in a superior orbit.