Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

High-dimensional optimization presents a novel challenge within the realm of intelligent
computing, necessitating innovative approaches. When tackling high-dimensional spaces …

This paper presents a multi-population differential evolution algorithm to address dynamic
optimization problems. In the proposed approach, a cellular learning automaton adjusts the …

Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a
broad range of applications. The algorithm has certain primary advantages such as its ease …

Nature-inspired computations are commonly recognized optimization techniques that
provide optimal solutions to a wide spectrum of computational problems. This paper …

Particle swarm optimization (PSO), one of the classical path planning algorithms, has been
considered for unmanned aerial vehicle (UAV) path planning more frequently in recent …

To satisfy the distinct requirements of different evolutionary stages, a dynamic multi-swarm
global particle swarm optimization (DMS-GPSO) is proposed in this paper. In DMS-GPSO …