Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …

Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …

Due to the increasing complexity of optimization problems, distributed differential evolution
(DDE) has become a promising approach for global optimization. However, similar to the …

Distributed differential evolution (DDE) is an efficient paradigm that adopts multiple
populations for cooperatively solving complex optimization problems. However, how to …

Data-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates to drive
optimization, which is useful and efficient when the objective function of the optimization …

Many-task problem (MaTOP) is a kind of challenging multitask optimization problem with
more than three tasks. Two significant issues in solving MaTOPs are measuring intertask …

Locating more peaks and refining the solution accuracy on the found peaks are two
challenging issues in solving multimodal optimization problems (MMOPs). To deal with …

The job-shop scheduling problem (JSSP) is a challenging scheduling and optimization
problem in the industry and engineering, which relates to the work efficiency and operational …

In this paper, we propose an intelligent scheme and design a spatial information sampling
algorithm (SIS) to achieve a balance between exploitation and exploration more efficiently …

In this paper, a global optimum-based search strategy is proposed to alleviate the situation
that the differential evolution (DE) usually sticks into a stagnation, especially on complex …