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To determine how listeners learn the statistical properties of acoustic spaces, we assessed their ability to perceive speech in a range of noisy and reverberant rooms. Listeners were also exposed to ...
Obtaining high-quality solutions for constrained multi-objective optimization problems (CMOPs) has been extensively researched in recent years. One popular approach is the coevolutionary framework, ...
Multi-Objective Particle Swarm Optimization (MOPSO) and the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (MO-CMA-ES) apply swarm intelligence and probabilistic modeling, ...
Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better address ...
President Trump’s triple-digit tariffs on Chinese products disrupted global trade — but haven’t appeared to result in major concessions from Beijing.
Realtor.com The multi-million dollar homes of Hailee Steinfeld and Josh Allen—and when are they getting married? Steinfeld has said she’s had little time to think about wedding plans.
Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...
This study investigates the efficiency of double-tuned mass dampers and the optimization of their dynamic characteristics to minimize structural displacement and acceleration. The tuning process is ...
Based on the analysis of Section 2.1, a multi-objective optimization model is established by comprehensively considering the economic cost of network loss, wasted renewable power punishment, and ...
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