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

Among the existing global optimization algorithms, Particle Swarm Optimization (PSO) is
one of the most effective methods for non-linear and complex high-dimensional problems …

The current development of modern computational methods makes it possible to improve
the performance of classical components and systems. The work provides a method for …

According to the survey, brain abnormal mortality rate is increased up to 86% due to the
severe effect of brain injuries, brain tumor, brain stork and other genetic mutations. The brain …

A parking lot (PL) dynamic resource allocation system for recharging electric vehicles (EVs)
is introduced in this paper. For scheduling purposes, a day is divided into sequential …

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

Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of
medical decision‐making. However, the imbalanced distribution of patient survival in the …

Particle Swarm Optimization (PSO) is an effective Swarm Intelligence technique for the
optimization of non-linear and complex high-dimensional problems. Since PSO's …

Most of the industrial design problems have non-linear constraints, high computational cost,
non-convex, complicated, and large number of solution spaces. This poses a challenge for …

Despite the intense research focused on the investigation of the functioning settings of
Particle Swarm Optimization, the particles initialization functions-determining the initial …