Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
four optimization » fox optimization (Expand Search), after optimization (Expand Search), wolf optimization (Expand Search)
library based » laboratory based (Expand Search)
based driven » based diet (Expand Search), wave driven (Expand Search), user driven (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based four » based food (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
four optimization » fox optimization (Expand Search), after optimization (Expand Search), wolf optimization (Expand Search)
library based » laboratory based (Expand Search)
based driven » based diet (Expand Search), wave driven (Expand Search), user driven (Expand Search)
binary based » linac based (Expand Search), binary mask (Expand Search)
based four » based food (Expand Search)
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RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms
Published 2025“…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …”
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DE algorithm flow.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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Test results of different algorithms.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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