Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...
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 ...
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 ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results