GitHub

Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python

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 ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
Scientific Research Publishing

Slowik, A. and Kwasnicka, H. (2020) Evolutionary Algorithms and Their Applications to Engineering Problems. Neural Computing and Applications, 32, 12363-12379.

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
VentureBeat

How Sakana AI's new evolutionary algorithm builds powerful AI models without expensive retraining

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
EurekAlert!

Latest review by Professor Jiao Licheng's Team at Xidian University: When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

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 ...
Scientific Research Publishing

Mirjalili, S. (2018) Genetic Algorithm. In: Mirjalili, S., Ed., Evolutionary Algorithms and Neural Networks, Springer, 43-55.

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...
GitHub

Diffusion-Based Evolutionary Algorithms

This repository contains the code of the work described in the following abstract. Abstract: This work explores the integration of denoising diffusion models with evolutionary algorithms (EAs) to ...
IEEE

Tutorial: Evolutionary Design Methods in Electronic Design Automation

Abstract: The use of evolutionary algorithms (EAs) for the automated design of programs, electronic circuits, neural networks, and other computational structures has become a fruitful approach in the ...
SciELO

Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms

In this paper, it is presented a general optimization methodology for improving empirical models predicting Okumura-Hata, Cost-231, ECC-33, and Egli using Genetic and Differential Evolution Algorithms ...