Abstract: Recently, researchers developed numerous nature-inspired meta-heuristics algorithms, such as particle swarm optimization (PSO), to solve numerical and engineering optimization problems.

Machine Learning is transforming wind and solar power by enhancing efficiency and sustainability in the renewable energy sector. This video explores current applications, highlighting NVIDIA's ...

Upon first look, virtual fence technology like Sensehub Vence has immense value to ranchers in terms of grazing management. However, that’s only the surface of how this technology is creating a better ...

Higher tariffs are often thought to present a problem to monetary policymakers at the Federal Reserve (Fed). Tariff shocks raise prices and reduce output and employment, which seems to push in ...

The New Orleans Saints have a massive quarterback problem right now. Derek Carr entered retirement earlier in the offseason, and the Saints were left with Tyler Shough, Spencer Rattler, and Jake ...

They would be the Big Apple’s cat crusaders. Mayoral hopeful Curtis Sliwa is pitching a plan to solve New York City’s rat problem — unleashing a strike team of feral cats to hunt down the rodents at ...

AYN has revealed design renders for its upcoming Odin 3 gaming handheld. It looks like a mix between the Odin 2 Portal and Retroid Pocket 5, with an ergonomic grip. No specs have been revealed, but we ...

From biotech to sustainable building and agtech, ASX companies are tackling problems associated with climate change Island Pharmaceuticals’ lead candidate ISLA-101 is being trialled as a potential ...

Abstract: A novel Consensus-Based Particle Swarm Optimization-Guided Surrogate-Enhanced Methodology (ACP-S) is developed to solve expensive black-box optimization (EBBO) problems. ACP-S formed form ...