Mathematical modeling plays an important role in biology for describing the dynamics of
infectious diseases. A useful strategy for controlling infections and disorder conditions is to …

Population-based optimization algorithms, such as genetic algorithm and particle swarm
optimization, have become a class of important algorithms for solving global optimization …

Locating the odor source in an outdoor building environment using autonomous vehicles
poses a considerable challenge. To address these challenges, researchers have explored …

This paper proposes a cooperative co-evolutionary improved particle swarm genetic
(CCIPSG) algorithm for ship branch pipe route design (SBPRD) based on the strategy of first …

The flow direction algorithm (FDA) is a new physics-based meta-heuristic optimization
algorithm that is being used successfully in a variety of applications. However, FDA lacks …

Solubility is one of the key physicochemical properties of foaming materials and plastic
membrane materials, which are commonly used in the processing, preparation, and …

In today's world, where complexity abounds and challenges are multifaceted, mathematical
modeling and optimization emerge as essential tools for addressing real-life phenomena …

Numerous multi-objective evolutionary algorithms have recently been proposed for the
leader selection or archive maintenance process via using reference sets. Despite the …

A main focus in the theory of Particle Swarm Optimization (PSO) was the convergence of the
particles where various frameworks and assumptions have been adopted which lead to a …

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable
performance for problem solving. The convergence analysis of the method is still in …