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 ...

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 ...

Abstract: Considering the heavy reliance of traditional adaptive dynamic programming (ADP) algorithms on gradient information and the lack of theoretical guarantees associated with particle swarm ...

Abstract: This work focuses on adaptive sliding mode control for networked Markov jump systems using a dynamic event-triggered strategy. Unlike previous studies, this mechanism employs a particle ...

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 ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

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 ...

SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 561-565 (5 pages) Published By: Coastal Education & Research Foundation, ...