A Modified Quantum-Inspired Genetic Algorithm Using Lengthening Chromosome Size and an Adaptive Look-Up Table to Avoid Local Optima
Article
Article Title | A Modified Quantum-Inspired Genetic Algorithm Using Lengthening Chromosome Size and an Adaptive Look-Up Table to Avoid Local Optima |
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ERA Journal ID | 211850 |
Article Category | Article |
Authors | Hakemi, Shahin, Houshmand, Mahboobeh, Hosseini, Seyyed Abed and Zhou, Xujuan |
Journal Title | Axioms |
Journal Citation | 12 (10) |
Article Number | 978 |
Number of Pages | 21 |
Year | 2023 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2075-1680 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/axioms12100978 |
Web Address (URL) | https://www.mdpi.com/2075-1680/12/10/978 |
Abstract | Quantum-inspired genetic algorithm which combines the quantum mechanics concepts 1 |
Keywords | quantum computing; quantum-inspired algorithms; metaheuristics; numerical optimization; constrained optimization |
ANZSRC Field of Research 2020 | 461307. Quantum computation |
460203. Evolutionary computation | |
Byline Affiliations | Islamic Azad University, Iran |
School of Business |
https://research.usq.edu.au/item/z393w/a-modified-quantum-inspired-genetic-algorithm-using-lengthening-chromosome-size-and-an-adaptive-look-up-table-to-avoid-local-optima
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