AZoQuantum

How Quantum Models Are Transforming the Understanding of Drug Resistance

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...
Crypto Briefing

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

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

A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application

Abstract: Large-scale constrained multiobjective optimization problems (LSCMOPs) exist widely in science and technology. LSCMOPs pose great challenges to algorithms due to the need to optimize ...