Contemporary Advancement by Somnath Mukhopadhyay (.ePUB)(.PDF)
File Size: 29 MB
Contemporary Advancement in Evolutionary Multi-objective Optimization (Genetic and Evolutionary Computation) by Somnath Mukhopadhyay, Sunita Sarkar, Kalyanmoy Deb, Paramartha Dutta
Requirements: .ePUB, .PDF reader, 29 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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