… the best protein–ligand binding affinity, the development of new strategies, the adaptation,
and … to the molecular docking problem are needed. We developed a Biased Random Key …

… This paper illustrates a novel and robust optimization algorithm (CEPGA) for solving the
protein–ligand docking problems with an aim to overcome the above-mentioned drawback. …

… evaluate the method, we perform six protein–ligand docking problems from the Brookhaven
Protein Data Bank (PDB) (Berman et al., 2000, 2002). In this article, we compared the …

… the protein-ligand docking problem more effectively, we propose an improved fireworks
algorithm called … Guan B in the paper [35] also improved a genetic algorithm with crossover elitist …

… evolutionary algorithms, such as adaptive DE, contributes to solving the protein–ligand
docking … In this study, we attempt to improve the performance of a protein–ligand docking …

… (LGA), running history information guided genetic algorithm (… the algorithm is more applicable
to solve the protein–ligand … Comparing Algorithm 1 with Algorithm 2, when the p-value …

… -adaptive version of Differential Evolution (DE) algorithm, noted as SaDE, in the flexible ligand
rigid receptor (FLRR) molecular docking … genetic algorithm for the protein–ligand docking …

… differences between different evolutionary algorithms in protein-ligand docking. The research
shows that search functions constructed by different evolutionary algorithms can achieve …

… an LGA-based novel genetic algorithm that enhances the performance of protein-ligand
docking by utilizing the running history information in this article. The proposed algorithm can be …

… In this tutorial, we show how to perform protein-ligand docking simulations of cyclin-dependent
kinase 2 (… parameters and instructions for the Lamarckian genetic algorithm. Click on …