Over the past few decades, metaheuristics methods have been applied to a large variety of
bioinformatic applications. There is a growing interest in applying metaheuristics methods in …

Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …

Many decision and optimization problems arising in bioinformatics field are time demanding,
and several algorithms are designed to solve these problems or to improve their current best …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …

A great wealth of information is hidden amid medical research data that in some cases
cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature …

Metaheuristic algorithms are present in various applications for different domains. Recently,
researchers have conducted studies on the effectiveness of these algorithms in providing …

There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

In the recent decades, researchers have introduced an abundance of feature selection
methods many of which are studied and analyzed over the high dimensional datasets …

Computational modeling can be defined as the use of computers for studying and simulating
complex systems, such as the human brain, organisms, and Earth's global climate, using …

Based on various sources of inspiration, there are different metaheuristic algorithms, such as
swarm intelligence, evolutionary computation, and bio-inspired algorithms, available in the …