Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...
Emily Seyl's richly illustrated history of the Trinity Test reveals how the Manhattan Project transformed innovation—and ...
Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...
The Ynet analysis, like nearly all Israeli commentary, frames the crisis as a failure of leadership. Netanyahu bet everything ...
Abstract: Multi-objective multi-point shortest path planning problems are commonly encountered in real-world applications. Numerous path planning algorithms have been proposed to accommodate different ...
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.
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 ...
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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