Lan, M. H. (2025) Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes. Journal of Data Analysis ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

Abstract: To enhance the efficiency of cooperative transportation by multiple mobile robots, we propose a transportation strategy based on multi-objective optimization of robot configurations. The ...

Many modern real-world designs rely on the optimization of multiple competing goals. For example, most components designed for the aerospace industry must meet some conflicting expectations. In such ...

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...

Multi-agent systems are becoming a critical development in artificial intelligence due to their ability to coordinate multiple large language models (LLMs) to solve complex problems. Instead of ...

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...

I'm exploring the possibility of contributing a collection of differentiable multi-objective optimization (MOO) test functions to the OptimizationProblems.jl repository. I have personally implemented ...