In the crowded environment of bio-inspired population-based metaheuristics, the Salp
Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of …

The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …

With the widespread use of intelligent information systems, a massive amount of data with
lots of irrelevant, noisy, and redundant features are collected; moreover, many features …

Natural phenomena and mechanisms have always intrigued humans, inspiring the design of
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …

Computational Intelligence methods, which include Evolutionary Computation and Swarm
Intelligence, can efficiently and effectively identify optimal solutions to complex optimization …

Determining the most relevant features is a critical pre-processing step in various fields to
enhance prediction. To address this issue, a set of feature selection (FS) techniques have …

Bound constraints are the lower and upper limits defined for each coordinate of the solution.
There are many methods to deal with them, but there is no clear guideline for which of them …

The Internet of Things is widely used, which results in the collection of enormous amounts of
data with numerous redundant, irrelevant, and noisy features. In addition, many of these …

Clustering analysis is an important computational task that has applications in many
domains. One of the most popular algorithms to solve the clustering problem is fuzzy c …

In this paper, we propose an extension of a recently proposed Deep Statistical Comparison
(DSC) approach, called practical Deep Statistical Comparison (pDSC), which takes into …