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 ...
A little over a decade ago, AI researchers Joel Lehman and Kenneth O. Stanley set small robots fitted with sensors loose in a ...
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.
The United States and Israel have done significant damage to Iran’s military capabilities. But Iran still fires missiles, has nuclear material and coordinates with militias in the region. By Edward ...
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.
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