The Use of Evolutionary Algorithms for Optimization in the Modern Entrepreneurial Economy: Interdisciplinary Perspective

Objective: The objective of the article is to present the concept of evolutionary algorithms and indicates the possibility of their implementation for the needs of the economy, especially the entrepreneurial economy. Research Design Methods: This conceptual article relies on literature review and de...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Entrepreneurial Business and Economics Review Ročník 7; číslo 4; s. 117 - 130
Hlavní autoři: Sieja, Marek, Wach, Krzysztof
Médium: Journal Article
Jazyk:angličtina
Vydáno: Krakow Uniwersytet Ekonomiczny w Krakowie 01.12.2019
Cracow University of Economics
Témata:
Artificial intelligence
Business Economy / Management
Competitive advantage
Economics
Economy
Engineering
Entrepreneurs
Evolution
Game theory
Genes
Genetic algorithms
ICT Information and Communications Technologies
Interdisciplinary aspects
Knowledge economy
Literature reviews
Methodology and research technology
Methods
Mutation
Operations research
Optimization techniques
Systematic review
computational techniques
genetic algorithms
entrepreneurial economy
evolutionary algorithms
optimization techniques
ISSN:2353-883X, 2353-8821
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Objective: The objective of the article is to present the concept of evolutionary algorithms and indicates the possibility of their implementation for the needs of the economy, especially the entrepreneurial economy. Research Design Methods: This conceptual article relies on literature review and desk research. The article elaborates on available literature via a systematic literature review methodology. Findings: The article elaborates on the idea of action and typology of evolutionary algorithms as the broadly applied search and optimisation technique based on Darwin’s theory of evolution and modern natural genetics. The article focuses on the examples of evolutionary algorithms application in economics and management. Implications Recommendations: The current state of applications of evolutionary algorithms for the needs of the economy and business confirms that we still await an implementation breakthrough. The growing interest in evolutionary algorithms in connection with the dynamic development of information technologies may lead to the use of evolutionary algorithms in hybrid systems, which in turn will contribute to significant progress in optimization theory. Contribution Value Added: The article structures scientific knowledge on the application of evolutionary algorithms in business and economy. The promotion of the application of evolutionary algorithms in economics, finance, and management is mainly limited to journals in operational research, decision-making process, or financial engineering, whereas this article includes entrepreneurship.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2353-883X
2353-8821
DOI:10.15678/EBER.2019.070407