Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Satellite imagery and artificial intelligence can detect with high accuracy two invasive weed species in Australia, posing a ...

There’s a certain irony to the digital age: we are promised infinite connection, yet our online experiences are increasingly ...

Abstract: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Quantum computing promises extraordinary power, but that same power may expose new security weaknesses. Quantum computers are expected to deliver dramatic gains in processing speed and capability, ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

As health insurers increasingly turn to AI, researchers explore the promise of efficiency—and the risk of amplifying existing ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Now, the comedians are working the algorithms to stay in front of people who don’t buy tickets to their shows. It’s a closed ...