Artificial intelligence has become an increasingly influential tool in the field of natural resource management, where complex and interdependent systems ...

On Thursday, MicroAlgo Inc. MLGO announced the development of a multi-objective evolutionary algorithm designed to automate ...

MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), today announced the proposal of a powerful solution-a multi-objective evolutionary search strategy, which is an innovative automated tool ...

Google Research published a paper that studies how to make generative AI systems produce answers that do more than sound ...

Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...

The RECAB (Reducing Energy Consumption in Algorithm Benchmarking) project was awarded with funding from NWO’s Sustainable Science call. This project, led by CWI’s Evolutionary Intelligence (EI) group, ...

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 ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: Multimodal multi-objective optimization problems (MMOPs) are prevalent in real-world applications and have emerged as a significant research focus in evolutionary computation. Unlike ...

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 ...

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 ...