Abstract: This paper proposes an improved set-based par-ticle swarm optimization (IS-PSO) algorithm to extend the applicability of particle swarm optimization (PSO) to discrete optimization problems, ...

Abstract: Particle Swarm Optimization (PSO), which simulates the unpredictable flight of a bird flock, is one of the intelligent computation algorithms. PSO is well-known to solve the continuous ...

Particle swarm optimisation (PSO) is a population-based metaheuristic inspired by the collective foraging behaviour of birds and fish, widely applied to continuous and discrete global optimisation ...

pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and ...

Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...

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At a secret meeting in 2025, some of the world's leading mathematicians gathered to test OpenAI's newest large language model, o4-mini. Experts at the meeting were amazed by how much the model's ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...