What's going on with MicroAlgo stock Friday?

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

MicroAlgo Inc. Develops Multi-Objective Evolutionary Algorithm to Advance Quantum Circuit Innovation

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 ...
Crypto Briefing

Ben Fielding: Neural architecture search automates deep learning, the shift to horizontal scaling is essential, and blockchain security enhances consensus algorithms | Unchained

Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus algorithms.
IEEE

Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking

Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) are widely existed in real-world applications and emerged as a prominent research focus in the evolutionary computation ...
IEEE

A Review of Evolutionary Algorithms for Multimodal Multi-Objective Optimization: Mechanisms, Progress, and Prospects

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 ...
Frontiers

Editorial: Evolutionary dynamics, functional variation and application of plant organellar genomes

Organellar genomes of plants are semi-autonomous genetic systems housed within chloroplasts and mitochondria and provide key data in deciphering the plant tree of life, adaptive evolution, and ...
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 ...
Quanta Magazine

The Sudden Surges That Forge Evolutionary Trees

An updated evolutionary model shows that living systems evolve in a split-and-hit-the-gas dynamic, where new lineages appear in sudden bursts rather than during a long marathon of gradual changes.