Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Discover 15 future-proof skills that AI can't replace, from data analysis to emotional intelligence, ensuring your career stays relevant.

Abstract: Stochastic optimization of the Area Under the Precision-Recall Curve (AUPRC) is a crucial problem for machine learning. Despite extensive studies on AUPRC optimization, generalization is ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Ad fraud is the most prolific form of cybercrime. So why haven't you heard of it? TOKYO, JP / ACCESS Newswire / March ...

Ad fraud is the most prolific form of cybercrime. So why haven't you heard of it? TOKYO, JP / ACCESS Newswire / March 10, 2026 / Digital advertising looks measurable, and that is a problem.Dashboards ...

Fort Lauderdale, Florida - March 09, 2026 - PRESSADVANTAGE - Blue Interactive Agency has released a new in-depth ...

Overview: Quantum AI combines quantum computing with artificial intelligence to solve complex problems beyond the reach of ...

A driver’s routine trip turned into an unexpected ordeal when his GPS navigation system directed […] ...

Magnetic invisibility sounds simple in theory. Place the right materials around an object and magnetic fields flow around it as if nothing were there. Reality has been far messier. For nearly two ...

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better diversification.