Genetic algorithm designed for solving portfolio optimization problems subjected to cardinality constraint

In the present study, a new algorithm named BEXPM-RM is proposed which require no constraint handling techniques to solve portfolio optimization problems subjected to budget, cardinality, and lower/upper bound constraints. The algorithm presented combines the BEX-PM (Thakur et al. in Appl Math Compu...

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Vydáno v:	International journal of system assurance engineering and management Ročník 9; číslo 1; s. 294 - 305
Hlavní autoři:	Jalota, Hemant, Thakur, Manoj
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New Delhi Springer India 01.02.2018 Springer Nature B.V
Témata:	Engineering Engineering Economics Fuzzy logic Fuzzy set theory Fuzzy sets Genetic algorithms Logistics Marketing Optimization Organization Original Article Probability theory Quality Control Reliability Repair Safety and Risk Upper bounds Swap mutation Real-coded genetic algorithms Budget Bounded exponential crossover Cardinality and lower/upper bound constraints
ISSN:	0975-6809, 0976-4348
On-line přístup:	Získat plný text
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