Search results for "algorithm performance"

showing 2 items of 2 documents

Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis

2022

Random mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin's theory of evolution as well as Mendel's theory of genetic heritage. In this paper, we debate whether pseudo-random processes are needed for evolutionary algorithms or whether deterministic chaos, which is not a random process, can be suitably used instead. Specifically, we compare the performance of 10 evolutionary algorithms driven by chaotic dynamics and pseudo-random number generators using chaotic processes as a comparative study. In this study, the logistic equation is employed for generating periodical sequences of different lengths, which are use…

Class (set theory)Information Systems and ManagementTheoretical computer scienceComputer scienceEvolutionary algorithmChaoticalgoritmiikkaevoluutiolaskentaparviälyTheoretical Computer ScienceArtificial IntelligencealgoritmitLogistic functionevolutionary algorithmsRandomnessdeterministic chaoskaaosteoriaStochastic processswarm intelligencealgorithm performanceComputer Science Applicationsalgorithm dynamicsCHAOS (operating system)Control and Systems EngineeringDarwin (ADL)Software
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Some New Symbolic Algorithms for the Computation of Generalized Asymptotes

2022

We present symbolic algorithms for computing the g-asymptotes, or generalized asymptotes, of a plane algebraic curve, C, implicitly or parametrically defined. The g-asymptotes generalize the classical concept of asymptotes of a plane algebraic curve. Both notions have been previously studied for analyzing the geometry and topology of a curve at infinity points, as well as to detect the symmetries that can occur in coordinates far from the origin. Thus, based on this research, and in order to solve practical problems in the fields of science and engineering, we present the pseudocodes and implementations of algorithms based on the Puiseux series expansion to construct the g-asymptotes of a p…

Infinity branchesPhysics and Astronomy (miscellaneous)MatemáticasAlgebraic curvesGeneral MathematicsAlgorithm performanceConvergent branchesalgebraic curves; infinity branches; convergent branches; approaching curves; generalized asymptotes; algorithm performance; symbolic computationGeneralized asymptotesSymbolic computationChemistry (miscellaneous)Approaching curvesComputer Science (miscellaneous)MathematicsSymmetry
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