Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

Abstract: In addition to the high dimensionality and heterogeneity of multi-view data, its underlying subspaces contain a wealth of intrinsic correlation information. However, existing MvSC models ...

The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary ...

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...

The mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and ...

Hello everyone, Today I would like to share part of my experience from a PID controller optimization study that I conducted during my bachelor's degree. In this project, I implemented and compared PID ...

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