Iman Rahimi, PhD, is a distinguished research scholar at the University of Technology Sydney, Australia, specializing in machine learning, optimization, and applied mathematics. He holds dual doctorates in Industrial Engineering and Computer Science, along with a BSc and MSc in Applied Mathematics. Dr. Rahimi has authored and edited several influential books, including titles on evolutionary computation and big data analytics, and has contributed extensively to academic literature as a reviewer for high-ranking journals. His editorial experience spans multiple publications, and he has received numerous international awards and research grants, highlighting his significant contributions to the field. With a robust background in operations research, Dr. Rahimi continues to advance knowledge in multiobjective optimization and its applications in various industries.
Télécharger le livre :  Sustainable Supply Chain of Renewable Energy Networks

This book examines the sustainable supply chain of renewable energy networks, combining global perspectives with engineering optimization. As the world shifts toward eco-friendly energy sources, it brings together experts to share best practices in solar, wind, marine,...
Editeur : Springer
Parution : 2025-07-07

Format(s) : PDF, ePub
210,99

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Télécharger le livre :  Multi-Objective Combinatorial Optimization Problems and Solution Methods

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches....
Editeur : Academic Press
Parution : 2022-02-09

Format(s) : epub sans DRM
156,14

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