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 |
|---|---|
| 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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