Abstract: The Traveling Salesman Problem (TSP) is a challenging combinatorial optimization problem classified as NP-hard. This paper investigates the performance of various meta-heuristic algorithms, ...

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 ...

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

“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 ...

This ushered in a heyday for advertisers who sponsored TV content and could show single ads to millions of viewers.  As a ...

Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and compliance with regulations.

Governments across the world want AI to do more of the heavy lifting when it comes to public services. The plan is apparently ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

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