Titlebook: Applied Multi-objective Optimization; Nilanjan Dey Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to S

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978-981-97-0355-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Zusammenstellung der benutzten Literatur,euristic techniques in multi-objective optimization. We additionally examine these algorithms’ advantages and disadvantages in terms of resolving multi-objective optimization issues. In this chapter, a general view of multi-objective optimization ideas is discussed by applying popular meta-heuristic

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Zusammenstellung der benutzten Literatur,sal models, we mapped a systematic landscape of causal interactions between genes that may play a critical role in cancer development. Using microarray datasets, our analysis has uncovered key genes and their significant correlations, laying the groundwork for the development of potential therapeuti

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https://doi.org/10.1007/978-3-663-20381-0arative analysis is performed between the improved PSO algorithm and its standard version, and the results highlight the MOQPSO algorithm‘s ability to discover the optimal solution within a limited number of iterations and time. Furthermore, the routes determined by the MOQPSO are found to be more e

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