By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make ...

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Toy Story 5 opened June 19 to a $164 million weekend by making its villain a real AI failure mode — goal misgeneralization, where measurable proxies like friend counts diverge from the human value ...

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

A research team has developed an optimized energy management strategy for a hybrid residential microgrid that combines solar ...

Researchers at Princeton University have built a swarm of interconnected mini-robots that “bloom” like flowers in response to changing light levels in an office. According to their new paper published ...

This paper introduces a novel meta-heuristic algorithm named Rhinopithecus Swarm Optimization (RSO) to address optimization problems, particularly those involving high dimensions. The proposed ...

To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.