The workshop is focused on concepts, implementation, applications and future directions of Differential Evolution.
Socially- and biologically- inspired optimization algorithms based on metaheuristics like Genetic Algorithms have some unique features which places them in the forefront of optimization methods for complex nonlinear multi-objective and multi-disciplinary problems. Differential Evolution (DE) is at the frontiers of these tools. This workshop presents a 360° view of DE in terms of theory, novel applications, and mechanisms for acceleration and adaptation for all interested amateurs and practitioners.
Fellow IEEE, Nanyang Technological University, Singapore
School of Physics, University of Hyderabad
School of Engineering Sciences, Mahindra Ecole Centrale
Faculty of Electrical Engineering and Computer Science, University of Maribor