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, ...
The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.
ABC News - PHOTO: Sen. Thom Tillis, R-N.C., appears on ABC News' "This Week" on March 22, 2026. As the war with Iran enters its fourth week, Republican Sen. Thom Tillis said the Trump administration ...
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 ...
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 ...
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.
In search and advertisement ranking, it is often required to simultaneously maximize multiple objectives. For example, the objectives can correspond to multiple intents of a search query, or in the ...
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