New Framework Makes AI Coding Agents 2.5x Better at Engineering

Researchers from Renmin University of China and Microsoft Research have introduced Arbor, a framework designed to help AI ...
IEEE

A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm

Abstract: This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) ...

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
IEEE

Multi-Objective Optimization for Multimodal Multi-Objective Multi-Point Shortest Path Problem Considering Unforeseeable Road Eventualities

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 ...
Scientific Research Publishing

Emmerich, M.T.M. and Deutz, A.H. (2018) A Tutorial on Multiobjective Optimization: Fundamentals and Evolutionary Methods. Natural Computing, 17, 585-609.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Bleeping Computer

ClickFix malware attacks evolve with multi-OS support, video tutorials

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...
Nature

Quantum approximate multi-objective optimization

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 ...
Scientific Research Publishing

Multi-Objective Optimization of Front Landing Gear Impact Based on Multivariate Nonlinear Regression ()

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
iaea.org

New IAEA Video Tutorials on Computed Tomography for Medical Physicists

Olivera Ciraj Bjelac, IAEA Department of Nuclear Sciences and Applications To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a ...
Nature

Best practices for multi-fidelity Bayesian optimization in materials and molecular research

Among machine learning techniques, Bayesian optimization (BO) has emerged as the go-to choice for optimizing the design of experiments in the chemical domain 1,2,3,4. BO, grounded in a probabilistic ...