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hybridized genetic
相关语句
  混合遗传
     The hybridized genetic algorithm based on the operator of adaptive orthogonal local search
     基于自适应正交局部搜索算子的混合遗传算法
短句来源
     A New Hybridized Genetic Algorithm for Solving Multi-objective Optimization Problems
     一种新的求解多目标优化问题的混合遗传算法
短句来源
     In order to raise the ability of genetic algorithm to local search and improve its convergence property, a new hybridized genetic algorithm is presented.
     为了提高遗传算法的局部搜索能力并改善其收敛性能,根据遗传算法和单纯形算法的特点,提出了一种新的混合遗传算法。
短句来源
     A New Hybridized Genetic Algorithm and its Property Analysis
     一种新的混合遗传算法及其性能分析
短句来源
     Thirdly, a control algorithm of elevator group system with inter-floor traffic pattern based on hybridized genetic algorithm is proposed in this paper.
     接着提出了一种基于混合遗传算法的层间交通模式下的电梯群控派梯算法。
短句来源
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  相似匹配句对
     The genetic
     用等电聚焦免疫固定技术调查成都地区汉族群体Bf的遗传多态性。
短句来源
     Study on the Genetic Value in Paulownia Species Hybridized
     泡桐种间杂交遗传值研究
短句来源
     A New Hybridized Genetic Algorithm and its Property Analysis
     一种新的混合遗传算法及其性能分析
短句来源
     (f,) -genetic knowledge;
     给出 (f, f) 遗传知识 ;
短句来源
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  hybridized genetic
Results show that the Hybridized Genetic Algorithm significantly outperforms Tabu Search-which is one of the best known methods for this problem- and also a multi-start descent except for highly connected graphs.
      
In this paper, we develop a new Hybridized Genetic Algorithm for arc crossing minimization.
      
Minimizing crossings in hierarchical digraphs with a hybridized genetic algorithm
      
In previous work, we developed three deadlock removal strategies for the job shop scheduling problem (JSSP) and proposed a hybridized genetic algorithm for it.
      


In order to raise the ability of genetic algorithm to local search and improve its convergence property, a new hybridized genetic algorithm is presented. The numerical experiments show that this algorithm has great advantage of convergence property, online and offline programming over the original genetic algorithm.

为了提高遗传算法的局部搜索能力并改善其收敛性能,根据遗传算法和单纯形算法的特点,提出了一种新的混合遗传算法。数值实验表明:该算法的收敛性能、在线性能和离线性能均优于原遗传算法。

A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway,the pentose phosphate pathway,the tricarboxylic acid cycle,CO2 anaplerotic reactions,ethanol and acetate formation,and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique...

A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway,the pentose phosphate pathway,the tricarboxylic acid cycle,CO2 anaplerotic reactions,ethanol and acetate formation,and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key pa-rameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.

A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway,the pentose phosphate pathway,the tricarboxylic acid cycle,CO2 anaplerotic reactions,ethanol and acetate formation,and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique w...

A scheme of investigating the intracellular metabolic fluxes in central metabolism of Saccharomyces cerevisiae based on isotope model and tracer experiment was developed. The metabolic model applied in this study includes the Embden-Meyerhof-Parnas pathway,the pentose phosphate pathway,the tricarboxylic acid cycle,CO2 anaplerotic reactions,ethanol and acetate formation,and pathways involved in amino acid synthesis. The approach of hybridized genetic algorithm combined with the sequential simplex technique was used to optimize a quadratic error function without the requirement of the information on the partial derivatives. The impact of some key pa-rameters on the algorithm was studied. This approach was proved to be rapid and numerically stable in the analysis of the central metabolism of S.cerevisiae.

 
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