Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …

A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic
methods applicable to a wide set of optimization problems for which exact/analytical …

Abstract The use of Digital Twins (DTs) for continuously optimising manufacturing systems
under a constant stream of changes, also known as” online optimisation”, is taken for …

Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in
practice, it is difficult to choose one appropriately for several reasons. First and …

We argue that results produced by a heuristic optimisation algorithm cannot be considered
reproducible unless the algorithm fully specifies what should be done with solutions …

Breast cancer is the second most frequent malignant tumor in the world. Early findings of
breast cancer can significantly improve treatment effectiveness. Manual methods of breast …

Recent years have witnessed a growing interest in automatic learning mechanisms and
applications. The concept of hyper-heuristics, algorithms that either select among existing …

The field of optimization metaheuristics has a long history of finding inspiration in natural
systems. Starting from classic methods such as Genetic Algorithms and Ant Colony …

The field of metaheuristics has a long history of finding inspiration in natural systems,
starting from evolution strategies, genetic algorithms, and ant colony optimization in the …

Metaheuristics are commonly used to solve complex and challenging problems, particularly
in electrical system applications. Nevertheless, there is a colorful palette of metaheuristics to …