James McDermott
About
James McDermott has authored 41 papers that have received a total of 561 indexed citations.
This includes 25 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. The topics of these papers are Evolutionary Algorithms and Applications (21 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). James McDermott is often cited by papers focused on Evolutionary Algorithms and Applications (21 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers) and collaborates with scholars based in Ireland, United States and Portugal. James McDermott's co-authors include Michael O’Neill, Erik Hemberg, Jonathan Byrne, Anthony Brabazon and Edgar Galván and has published in prestigious journals such as Information Sciences, Pattern Recognition and IEEE Transactions on Cybernetics
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