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niche selection
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  小生境
     The limitations of the primary genetic algorithm applied to practice are discussed, including poor local search ability, premature convergence, large amount of calculation, and bad adaptability to large search space. A hybrid genetic algorithm is developed by combination of the simplex algorithm with the genetic algorithm, and niche selection and accelerated operation are used and combined with the present algorithm to solve the above mentioned problems.
     针对基本遗传算法在优化应用中遇到的诸如局部搜索能力差、计算量大、对较大搜索空间适应能力差和早熟收敛等问题 ,将传统的单纯形搜索算法与遗传算法相结合 ,提出了一种混合遗传算法 ,并在算法中增加了小生境淘汰运算和加速循环操作 .
短句来源
     By means of niche selection technology, saving best result strategy and eliminating near best result strategy, genetic algorithm by which many optimal solutions may be solved has been designed. The practical problem has been calculated by using the genetic algorithm designed, many optimal solution has been gained with satisfactory results.
     通过引入小生境技术、最优保存策略和近优淘汰策略,设计了用于求多解组合优化问题的混合遗传算法,用所设计的混合遗传算法对某工厂实际问题进行了计算,获得了许多最优解,结果非常令人满意。
短句来源
     With the instruction of niche selection technology,it effectively maintain population diversity.
     引入了小生境技术,保持了种群的多样性。
短句来源
  相似匹配句对
     Niche
     生态位
短句来源
     Study of Enterprise’ niche and its motile selection
     企业生态位及其能动性选择研究
短句来源
     On the Conception and Selection Strategies of Tourism Resources Niche
     略论旅游资源生态位的概念与选择策略
短句来源
     Information Selection
     考试信息
短句来源
     strategic selection;
     ②根据战略分析所作的战略选择;
短句来源
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  niche selection
The discussion focuses on the impact of goal appraisals on risk behavior, niche selection during the transition to college, and implications for the prevention of heavy drinking.
      
Larval niche selection and evening exposure enhance adoption of a predacious social parasite, Maculineaarion (large blue butterf
      
In heterogeneous environments, differential niche selection by two competing species will result in niche partitioning so that individuals of each species can maximise their fitness under different sets of environmental variables.
      
It is proposed that radical change is generated by four different evolutionary mechanisms and patterns: natural selection, punctuated equilibrium, market niche selection, and technological niche selection.
      
These niche selection problems can all be modeled in a straightforward manner by DGs.
      
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The limitations of the primary genetic algorithm applied to practice are discussed, including poor local search ability, premature convergence, large amount of calculation, and bad adaptability to large search space. A hybrid genetic algorithm is developed by combination of the simplex algorithm with the genetic algorithm, and niche selection and accelerated operation are used and combined with the present algorithm to solve the above mentioned problems. Case studies on typical test functions show that...

The limitations of the primary genetic algorithm applied to practice are discussed, including poor local search ability, premature convergence, large amount of calculation, and bad adaptability to large search space. A hybrid genetic algorithm is developed by combination of the simplex algorithm with the genetic algorithm, and niche selection and accelerated operation are used and combined with the present algorithm to solve the above mentioned problems. Case studies on typical test functions show that the hybrid genetic algorithm is efficient and reliable.

针对基本遗传算法在优化应用中遇到的诸如局部搜索能力差、计算量大、对较大搜索空间适应能力差和早熟收敛等问题 ,将传统的单纯形搜索算法与遗传算法相结合 ,提出了一种混合遗传算法 ,并在算法中增加了小生境淘汰运算和加速循环操作 .典型测试函数数值算例验证表明 ,本文方法不但可以有效地克服基本遗传算法的上述缺陷 ,而且计算速度和计算精度都有显著提高 .

There are some limitations that using generic algorithms to dispose mulitapices function, so the paper brings forward an improved hybrid genetic algorithm. This algorithm imports simplex searching algorithm,saving best result algorithm and eliminating near best result algorithm based on niche selection technology. Case studies show that optimizing multiapices function, the improved hybrid genetic algorithm excelles standard genetic algorithm on the ability of local searching and premature convergence....

There are some limitations that using generic algorithms to dispose mulitapices function, so the paper brings forward an improved hybrid genetic algorithm. This algorithm imports simplex searching algorithm,saving best result algorithm and eliminating near best result algorithm based on niche selection technology. Case studies show that optimizing multiapices function, the improved hybrid genetic algorithm excelles standard genetic algorithm on the ability of local searching and premature convergence. It has obtained good effect into practice.

针对遗传算法在处理复杂多峰函数优化问题中存在的一些缺陷,提出了一种改进型的混合遗传算法.它在小生境技术的基础上引入单纯搜索算法、最优保存算法和近优淘汰算法,并使之相互结合.经编程实践证明,这种改进的混合遗传算法在处理复杂多峰函数优化问题时,局部搜索能力和克服过早收敛能力方面都显著优于标准遗传算法,并在实际应用中取得了较好的效果.

By means of niche selection technology, saving best result strategy and eliminating near best result strategy, genetic algorithm by which many optimal solutions may be solved has been designed. The practical problem has been calculated by using the genetic algorithm designed, many optimal solution has been gained with satisfactory results.

通过引入小生境技术、最优保存策略和近优淘汰策略,设计了用于求多解组合优化问题的混合遗传算法,用所设计的混合遗传算法对某工厂实际问题进行了计算,获得了许多最优解,结果非常令人满意。

 
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