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 ...
ParticleMazeSolver: Utilizes PSO to navigate mazes efficiently, mimicking swarm behavior. Offers customizable pathfinding for varying maze complexities. Submitted for Computational Intelligence (CS ...
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 ...
Abstract: Large Language Models (LLMs) have shown remarkable capabilities across many Natural Language Processing (NLP) tasks, but their performance hinges on well-designed prompts. Recent studies ...
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, ...
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 ...
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