Scientific Research Publishing

Deb, K. (2011) Multi-Objective Optimisation Using Evolutionary Algorithms: An Introduction. In: Wang, L.H., Ng, A.H.C. and Deb, K., Eds., Multi-Objective Evolutionary ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
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 ...
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 ...
IEEE

Evolutionary circuit design: Tutorial

Abstract: Evolutionary algorithms (EAs) are population-based search algorithms that have been successfully applied to solve hard optimization problems in many application domains. Since the early 1990 ...