NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for

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

Frontiers Determining the Adsorption Energetics of 2,3-Butanediol on RuO2(110): Coupling First-Principles Calculations With Global Optimizers

NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems

An adaptive learning grey wolf optimizer for coverage optimization in WSNs - ScienceDirect

NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems

Self-adaptive salp swarm algorithm for optimization problems

Manh-Thuong NGUYEN, PhD, Pacific Northwest National Laboratory, WA, PNNL

Three-learning strategy particle swarm algorithm for global optimization problems - ScienceDirect

Simulated PES spectra of the lowest energy LaSin⁻ (n = 6–20) clusters

Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection

Application of genetic algorithm in the global structure optimization of catalytic system

Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility. - Abstract - Europe PMC

Representation of the Deaven and Ho cut-and-splice crossover operation.

Frontiers Application of Optimization Algorithms in Clusters