F Neri, V Tirronen - Artificial intelligence review, 2010 - Springer
Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous optimization. For these reasons DE has often been employed for solving various …
Y Zhang, S Cheng, Y Shi, D Gong, X Zhao - Expert Systems with …, 2019 - Elsevier
Since different features may require different costs, the cost-sensitive feature selection problem become more and more important in real-world applications. Generally, it includes …
Effective Butterfly Optimizer (EBO) is a self-adaptive Butterfly Optimizer which incorporates a crossover operator in Perching and Patrolling to increase the diversity of the population. This …
Surrogate assisted global optimization is gaining popularity. Similarly, modern advances in computing power increasingly rely on parallelization rather than faster processors. This …
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and …
Recent advances in the information and communication technologies are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this …
R Aron, A Abraham - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The growth and development of scientific applications have demanded the creation of efficient resource management systems. Resource provisioning and scheduling are two …
Thanks to their inherent properties, probabilistic graphical models are one of the prime candidates for machine learning and decision making tasks especially in uncertain domains …
A Caponio, GL Cascella, F Neri… - … on Systems, Man …, 2007 - ieeexplore.ieee.org
A fast adaptive memetic algorithm (FAMA) is proposed which is used to design the optimal control system for a permanent-magnet synchronous motor. The FAMA is a memetic …