METAHEURISTICHYBRIDIZATION: MEMETICALGORITHM

Stefan Andreea-Mirabela
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Stefan Andreea-Mirabela: University of Craiova Faculty of Economics and Business Administration Craiova, Romania

Annals of University of Craiova - Economic Sciences Series, 2020, vol. 1, issue 48, 155-164

Abstract: In today'stimes, themajority of investors are willingeasygains, andtheeasiestwayistoinvest in productive domains, eveniftheriskstheyhavetotake are veryhigh, but these are notthelast problem. The real problem for investorsistotaketherightdecisionand, for that, theyhavetobuildforecastmodels, tomakesomeassumptions for defaultvariables, which are difficulttounderstand. Torefinethepredictionprocess, researchershavedevelopedhybridmodels for forecasting. A famousclass of allthesetechniquesis in themetaheuristicsdomain. The purpose of thispaperistopresentthehybridizationprocessandhybridalgorithms. More over, anothergoalistorevealsomepossibilities of metaheuristics, such as hybridization of algorithms.

Keywords: hybridmetaheuristics; heuristics; genetic algorithms; metaheuristics; memeticalgorithm. (search for similar items in EconPapers)
JEL-codes: C10 C18 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:aio:aucsse:v:1:y:2020:i:48:p:155-164

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