Abstract. We implement multiobjective evolutionary algorithms for the optimization of micro-fluidic devices. In this work we discuss the development of multimembered evolution strategies with step size adap-tation in conjunction with the Strength Pareto Approach. In order to support targeting, an extension of the Strength Pareto Evolutionary Al-gorithm is proposed. The results suggest a novel design for micro-fluidic devices used for DNA sequencing.
The design of RF cavities is a multivariate multiobjective problem. Manual optimisation is poorly su...
This work concerns the optimization of circuit performances of a Two Stage Operational Transconducta...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...
We discuss the development of new computational strategies based on evolutionary computing algorithm...
Abstract. In this paper, we propose an algorithm based on the clonal selection principle to solve mu...
The invention and development of Polymerase Chain Reaction (PCR) technology have revolutionised mole...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.In this work, we propose to d...
A personification heuristic Genetic Algorithm is established for the placement of digital microfluid...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
Microfluidic capture chips are useful for preparing or analyzing a wide range of different chemical,...
This paper details the Multiobjective Differential Evolution algorithm (MODE) using crowding distan...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
In this study, an optimization of supersonic air-to-air ejector is carried out by a recently develop...
The design of RF cavities is a multivariate multiobjective problem. Manual optimisation is poorly su...
This work concerns the optimization of circuit performances of a Two Stage Operational Transconducta...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...
We discuss the development of new computational strategies based on evolutionary computing algorithm...
Abstract. In this paper, we propose an algorithm based on the clonal selection principle to solve mu...
The invention and development of Polymerase Chain Reaction (PCR) technology have revolutionised mole...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.In this work, we propose to d...
A personification heuristic Genetic Algorithm is established for the placement of digital microfluid...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
Microfluidic capture chips are useful for preparing or analyzing a wide range of different chemical,...
This paper details the Multiobjective Differential Evolution algorithm (MODE) using crowding distan...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
In this study, an optimization of supersonic air-to-air ejector is carried out by a recently develop...
The design of RF cavities is a multivariate multiobjective problem. Manual optimisation is poorly su...
This work concerns the optimization of circuit performances of a Two Stage Operational Transconducta...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...
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