Swarm robotics harnesses the collective behaviours observed in nature to coordinate large numbers of simple, autonomous agents, enabling them to accomplish complex tasks that would be arduous for a ...

Particle swarm optimization (PSO) is a computer algorithm based on a mathematical model of the social interactions of swarms which was first described in 1995. Now, researchers in the UK and Jordan ...

Dissipative mechanism – to maintain diversity, add a small chance 1% to each particle of being randomly reinitialized in the search space. Bouncing mechanism instead of penalty for GA - all particles ...

Abstract: The calculation of low-voltage transformer area losses is a crucial aspect for ensuring the economic operation of the power system. Traditional methods, however, have limitations when ...

Abstract: Aiming at the multi-peak phenomenon of photovoltaic arrays in the case of sudden environmental changes, especially in localized shadows, this paper proposes a tangent-based improved ...

The familiar early summer call of the cuckoo has inspired composer and poet alike, but the sound belies the bird's true parasitic nature. Now, researchers have taken the cuckoo's wont to deposit its ...

Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit. Many ...

At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, Healinno Tech (Beijing) Co., Ltd. and Beijing University of Posts and Telecommunic ...