Author name used in this publication: S. L. Ho2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for the design...
Genetic Algorithms are becoming a common tool for optimal design applications, where, due to the mu...
Abstract: This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for ...
Author name used in this publication: S. L. HoAuthor name used in this publication: G. Z. Ni2006-200...
Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions...
Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electrom...
The paper describes a migration strategy to improve classical non-dominated sorting genetic algorith...
AbstractTo improve performances of multi-objective optimization algorithms, such as convergence and ...
Abstract. In this work, a Multi-Niching Multi-Objective Genetic Algorithm is presented for solving m...
506-512In this paper, an improved niche genetic algorithm (NGA) is presented and applied to optima...
The design of electromagnetic systems using methods of optimization have been carried out with deter...
In this paper, Pareto Genetic Algorithms are applied to solve multiobjective optimisation problems. ...
Author name used in this publication: S. Y. YangAuthor name used in this publication: S. L. HoAuthor...
260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This dissertation discusses t...
AbstractCanonical genetic algorithms have the defects of pre-maturity and stagnation when applied in...
This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for the design...
Genetic Algorithms are becoming a common tool for optimal design applications, where, due to the mu...
Abstract: This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for ...
Author name used in this publication: S. L. HoAuthor name used in this publication: G. Z. Ni2006-200...
Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions...
Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electrom...
The paper describes a migration strategy to improve classical non-dominated sorting genetic algorith...
AbstractTo improve performances of multi-objective optimization algorithms, such as convergence and ...
Abstract. In this work, a Multi-Niching Multi-Objective Genetic Algorithm is presented for solving m...
506-512In this paper, an improved niche genetic algorithm (NGA) is presented and applied to optima...
The design of electromagnetic systems using methods of optimization have been carried out with deter...
In this paper, Pareto Genetic Algorithms are applied to solve multiobjective optimisation problems. ...
Author name used in this publication: S. Y. YangAuthor name used in this publication: S. L. HoAuthor...
260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This dissertation discusses t...
AbstractCanonical genetic algorithms have the defects of pre-maturity and stagnation when applied in...
This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for the design...
Genetic Algorithms are becoming a common tool for optimal design applications, where, due to the mu...
Abstract: This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for ...
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