Deadline Date: 10 April 2026
Swarm Intelligence (SI) is a nature-inspired computational approach modeled on the collective behavior of organisms like birds, ants, and fish. Characterized by decentralized control, self-organization, and adaptability, SI is effective in solving complex, nonlinear, and high-dimensional optimization problems where traditional methods fall short. Numerical modeling plays a vital role in transforming these bio-inspired ideas into engineering algorithms, allowing for simulation-based performance analysis, stability assessment, and parameter tuning. Higher-order SI algorithms such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Artificial Bee Colony (ABC) have demonstrated success across engineering fields. In civil engineering, they optimize truss and bridge structures; in electrical engineering, they assist in load balancing and network configuration; and in mechanical and aerospace engineering, they enable system tuning and aerodynamic optimization. These models often incorporate mathematical representations of swarm dynamics and are hybridized with methods like Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD) for greater accuracy. Integration with machine learning further enhances adaptability. This Special Issue aims to showcase innovative numerical models, hybrid frameworks, and practical applications of SI in engineering. We invite contributions that highlight algorithmic advancements, computational efficiency, and interdisciplinary engineering solutions using SI for real-world optimization challenges.
Deadline Date: 10 April 2026
Swarm Intelligence (SI) is a nature-inspired computational approach modeled on the collective behavior of organisms like birds, ants, and fish. Characterized by decentralized control, self-organization, and adaptability, SI is effective in solving complex, nonlinear, and high-dimensional optimization problems where traditional methods fall short. Numerical modeling plays a vital role in transforming these bio-inspired ideas into engineering ... show more
Editorial board
