Bumblebees faced with a challenge know how to play ball. Buff-tailed bumblebees can figure out on their own how to use a ball as a ladder to nab sugar from an out-of-reach fake flower, researchers ...

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 ...

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Add Decrypt as your preferred source to see more of our stories on Google. Researchers built a “Swarm Oracle” of robots that collectively agreed on sensor data under adversarial attacks. The system ...

A general-purpose Model Context Protocol (MCP) server for solving combinatorial optimization problems with logical and numerical constraints. This server provides a unified interface to multiple ...

This paper presents an application of swarm intelligence to a hundred-year-old problem in mathematics, the Hausdorff moment problem (HMP), where one reconstructs a density function from its moments.

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 ...