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- W4245587130 abstract "Currently, the immense growth of internet usage has become a bottleneck situation for web developers to meet the customer requirements. To analyse this changing scenario, the developers need to meet these requirements through the introduction of various optimisation techniques. Various enumerable optimisation techniques are available in the market to explore the Web 3.0 domain. In this research, the author proposed a new metaheuristic approach that aimed at providing an appropriate solution to the analysis and optimisation issues. The main aim to design this algorithm in spite of existing algorithms is for wider search space and less time for optimisation as based on the foraging time by Rock Hyraxes. Here, the swarm intelligence metaheuristic approach is proposed based on the biological behaviour of Rock Hyrax available in East Africa. This novel Rock Hyrax intelligent optimisation (RHIO) algorithm is designed to optimise the results in the Web 3.0 domain." @default.
- W4245587130 created "2022-05-12" @default.
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- W4245587130 date "2021-01-01" @default.
- W4245587130 modified "2023-10-18" @default.
- W4245587130 title "Rock Hyrax Intelligent Optimization Algorithm: An Exploration for Web 3.0 Domain Selection" @default.
- W4245587130 doi "https://doi.org/10.1504/ijaip.2021.10032230" @default.
- W4245587130 hasPublicationYear "2021" @default.
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