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Contemporary Advancement in Evolutionary Multi-objective Optimization [#1032296]

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Contemporary Advancement in Evolutionary Multi-objective Optimization
English | 2026 | ISBN: 9819579074 | 238 Pages | PDF EPUB (True) | 25 MB
This endeavour presents a rich collection of contemporary advances in evolutionary multi-objective optimisation algorithms, blending foundational concepts with state-of-the-art research and real-world applications. Featuring contributions from leading experts, it offers clear insights into modern EMO methodologies, emerging AI-EC integrations, and diverse problem-solving domains. An essential reference for researchers, practitioners, and students exploring intelligent optimisation Algorithms.



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