The enterprise cybersecurity stack has never been more capable, yet breaches continue and security teams are more overwhelmed ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Multiple sclerosis (MS) can have a substantial impact on many aspects of life beyond physical health, with 51% of people ...

As the war with Iran enters its fourth week, Republican Sen. Thom Tillis said the Trump administration must make its objectives of the operation clearer before Congress approves additional funding.

This paper presents a robust multi-objective optimization approach—the multi-objective starfish optimization algorithm (MOSFOA)—designed to address complex challenges in engineering design and optimal ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Quantum computing is a computational paradigm that has the potential to disrupt certain disciplines, with (combinatorial) optimization frequently being mentioned as one of them 1. However, in many ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...

This repository contains the code to run the experiments in the paper (Buckingham et al., 2025): Buckingham, J. M., Rojas Gonzalez, S., & Branke, J. (2025). Knowledge Gradient for Multi-Objective ...

Abstract: This paper studies the multi-objective optimization problems (MOPs) of Markovian jump systems (MJSs) closed by general controllers. Firstly, the linear quadratic regulator (LQR) problem of ...

As a co-creator of Robyn, if I would pick a single most important innovation from this project, it'll be solving the Marketing Mix Modelling problem with multi-objective optimization. Every MMM ...

Impact Statement: The multi-objective traveling salesman problem (MOTSP), one of the typical combinatorial optimization problems, can be used to model a broad range of real applications.