As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

During the past few years, research in applying machine learning (ML) to design efficient,
effective, and robust metaheuristics has become increasingly popular. Many of those …

Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …

In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …

This paper performs an unprecedented comparative study of Metaheuristic optimization
frameworks. As criteria for comparison a set of 271 features grouped in 30 characteristics …

This article presents an overview of metaheuristics as high-level soft computing strategies
for solving optimisation problems. A general view of the field is presented, and a review of …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …