The human body isn’t a masterpiece of design – it’s a patchwork of evolutionary compromise

Our bodies are not perfectly designed, but are a living archive of evolution. Anatomy reveals a historical record of ...
Science Daily

24 new deep-sea species found including a rare new branch of life

In a remarkable deep-sea breakthrough, researchers have discovered 24 new species of amphipods in the Pacific’s Clarion-Clipperton Zone—including a rare, entirely new superfamily. The findings reveal ...
IEEE

Multi-Objective Evolutionary Algorithm for Construction Branched Pipe Routing

Abstract: Due to the complexity of layout spaces in constructions, the arrangement of pipelines is a laborious task. However, the majority of existing pipeline layout algorithms, which are based on ...
Reuters

TikTok seals deal for new US joint venture to avoid American ban

WASHINGTON, Jan 22 (Reuters) - TikTok's Chinese owner, ByteDance, on Thursday said it has finalized a deal to establish a majority American-owned joint venture that will secure U.S. data, to avoid a U ...
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

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 ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

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 ...
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 ...