Author name used in this publication: S. L. Ho2000-2001 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Author name used in this publication: S. L. HoAuthor name used in this publication: Edward W. C. LoA...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. Wong2001-2...
Simulated annealing is an established method for global optimization. Perhaps its most salient featu...
Abstract—A self-learning simulated annealing algorithm is developed by combining the characteristics...
A self-learning simulated annealing algorithm is developed by combining the characteristics of simul...
A self-learning simulated annealing algorithm is developed by combining the characteristics of simul...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. Wong2002-2...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
Simulated annealing is a global optimization method that distinguishes between different local optim...
Author name used in this publication: S. L. HoAuthor name used in this publication: Edward W. C. LoA...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. Wong2001-2...
Simulated annealing is an established method for global optimization. Perhaps its most salient featu...
Abstract—A self-learning simulated annealing algorithm is developed by combining the characteristics...
A self-learning simulated annealing algorithm is developed by combining the characteristics of simul...
A self-learning simulated annealing algorithm is developed by combining the characteristics of simul...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. Wong2002-2...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
This paper is concerned with a novel optimization algorithm that implements an enhanced formulation ...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
International audienceFinding the global minimum of a nonconvex optimization problem is a notoriousl...
Simulated annealing is a global optimization method that distinguishes between different local optim...
Author name used in this publication: S. L. HoAuthor name used in this publication: Edward W. C. LoA...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. Wong2001-2...
Simulated annealing is an established method for global optimization. Perhaps its most salient featu...
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