NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for
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AUTOMATON: A Program That Combines a Probabilistic Cellular Automata and a Genetic Algorithm for Global Minimum Search of Clusters and Molecules
Neutral geometries optimized with the mPW2PLYP scheme. The Pm–Si bond
Application of genetic algorithm in the global structure optimization of catalytic system
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility
Monte Carlo-Simulated Annealing and Machine Learning-Based Funneled Approach for Finding the Global Minimum Structure of Molecular Clusters
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation
PDF) Application of Optimization Algorithms in Clusters
Bayesian optimization with active learning of design constraints using an entropy-based approach
Application of genetic algorithm in the global structure optimization of catalytic system
A new taxonomy of global optimization algorithms
A hybrid particle swarm optimization algorithm using adaptive learning strategy - ScienceDirect
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