This is a sponsored article brought to you by . Across global electricity networks, the shift to renewable energy has ...

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: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

This project solves the GECCO19 Traveling Thief Problem (TTP) using a Multi-objective Evolutionary Algorithm (MOEA) to optimize both travel time (TSP) and profit (KNP) with advanced crossover, ...

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 ...

1 State Key Laboratory of Intelligent Mining Equipment Technology, Taiyuan, China 2 School of Computer Science and Technology, Anhui University, Hefei, China In the manufacturing process of electric ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...

Abstract: Evolutionary algorithms (EAs) for optimization have received wide attention due to their robustness and practicality. However, the traditional way of asynchronously handling bilevel ...