In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Abstract: The natural process of genetic development in living organisms is analogous to the growth of genetic algorithms, an intelligent bionic algorithm with tremendous potential for global ...

Abstract: This paper presents a meta-heuristic optimization algorithm known as Artificial Rabbits Optimization (ARO) to get the optimal set of infinite impulse response (IIR) filter coefficients.

Abstract: Multiple power peaks are introduced under nonuniform irradiation conditions in photovoltaic (PV) systems. However, conventional maximum power point tracking (MPPT) algorithms, such as the ...

Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...

Abstract: A novel two-step iterative optimization method could be used in microwave and mm-wave bands for optimal topology of 2-D sparse multiple-input multiple-output (MIMO) arrays, and an improved ...

Abstract: In recent years, there has been a burgeoning development of swarm intelligence-based metaheuristic algorithms, with those integrating mathematical principles and stochastic search strategies ...

Abstract: With the deep integration of various intelligent technologies and education, smart teaching has gradually become a new form of vocational education growth in the information age. Smart ...

Abstract: Chip technologies are crucial for the digital transformation of industry and society. Artificial Intelligence (AI) is playing an increasingly important role in both our daily lives and in ...

Abstract: In order to solve the challenges of landscape space environment optimization design, in view of the shortcomings of the existing dynamic programming algorithms, this study introduces an ...