RMIQ, an AI-powered cross-retail media network platform, announces the addition of four major retail media networks to its ...
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Our goal with CosmeticAI™ was to make cosmetic ingredient development predictable rather than exploratory” — Dr. Lurong Pan, CEO of Ainnocence SAN FRANSICO, CA, UNITED STATES, January 1, 2026 ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...
“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...
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 ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...
Sign up for the daily CJR newsletter. Objectivity hasn’t always been a cornerstone of journalism. American publishers first turned to objectivity in the early ...
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