When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...
Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than toxic chemicals—a discovery that could accelerate and improve how medicines ...
Abstract: 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 ...
Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Transforming a nation of 1.4 billion people into the world's leading R&D hub is a monumental task. But by liberating the minds of the next generation of Indian scientists at 11, 12, and 13 years old, ...
1 Department of Mathematics, Gamal Abdel Nasser University, Conakry, Republic of Guinea. 2 Department of Mathematics, University of N’zérékoré, N’zérékoré, Republic of Guinea. 3 Guinea Research and ...
Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
EvoToolkit is a Python library that leverages Large Language Models (LLMs) to evolve solutions for optimization problems. It combines the power of evolutionary algorithms with LLM-based solution ...
Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...
Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...