This paper studies evolutionary mechanism of parameter selection in the construction of weight function for Nearest Neighbour Estimate in nonparametric regression. Construct an algorithm which adaptively evolves fine ...This paper studies evolutionary mechanism of parameter selection in the construction of weight function for Nearest Neighbour Estimate in nonparametric regression. Construct an algorithm which adaptively evolves fine weight and makes good prediction about unknown points. The numerical experiments indicate that this method is effective. It is a meaningful discussion about practicability of nonparametric regression and methodology of adaptive model-building.展开更多
Evolutionary computation is a kind of adaptive non--numerical computation method which is designed tosimulate evolution of nature. In this paper, evolutionary algorithm behavior is described in terms of theconstructio...Evolutionary computation is a kind of adaptive non--numerical computation method which is designed tosimulate evolution of nature. In this paper, evolutionary algorithm behavior is described in terms of theconstruction and evolution of the sampling distributions over the space of candidate solutions. Iterativeconstruction of the sampling distributions is based on the idea of the global random search of generationalmethods. Under this frame, propontional selection is characterized as a gobal search operator, and recombination is characerized as the search process that exploits similarities. It is shown-that by properly constraining the search breadth of recombination operators, weak convergence of evolutionary algorithms to aglobal optimum can be ensured.展开更多
Evolvable hardware (EHW) realizes circuit function through evolution. It may be viewed as the combination of EAs (evolutionary algorithms) and PLDs (programmable logic devices). At present the main problem is that the...Evolvable hardware (EHW) realizes circuit function through evolution. It may be viewed as the combination of EAs (evolutionary algorithms) and PLDs (programmable logic devices). At present the main problem is that the speed of evolution is too slow. In order to tackle the problem, we must do work from two aspects: algorithm and device structure. This paper presents a function PLD as a new EHW's structure. So the efficiency of coding is improved, and evolution is sped up. A 4-bit comparator is successfully completed.展开更多
This paper discusses complete binary trees as chromosomes of Genetic Algorithm (GA), and proposes the concept of dominant and recessive genes. On the base of it, a new crossover operator with the selective ability was...This paper discusses complete binary trees as chromosomes of Genetic Algorithm (GA), and proposes the concept of dominant and recessive genes. On the base of it, a new crossover operator with the selective ability was designed. Finally experimental results are presented.展开更多
酵母展示技术被广泛应用于抗体药物候选分子的发现与优化中,但传统酵母展示技术只能将抗体展示于表面,无法同时将抗体分泌至培养基的上清液进行亲和力测定。为克服此难点,将含Knob突变的抗体可结晶片断(Fc)展示于酵母表面作为“诱饵”,...酵母展示技术被广泛应用于抗体药物候选分子的发现与优化中,但传统酵母展示技术只能将抗体展示于表面,无法同时将抗体分泌至培养基的上清液进行亲和力测定。为克服此难点,将含Knob突变的抗体可结晶片断(Fc)展示于酵母表面作为“诱饵”,通过“Knob into Hole”的方式结合含Hole突变的免疫球蛋白(IgG)半分子,达到展示抗体的作用;同时,含Hole突变的IgG半分子自身可形成同源二聚体,形成IgG完整分子分泌至培养基中,实现酵母抗体展示与分泌的双重功能。结果发现:使用含Knob突变的重链恒定区3作为“诱饵”,展示抗体的效果最佳;双功能酵母展示与分泌系统经模拟文库验证,可高效筛选出占比极低的含高亲和力抗体序列的菌株;筛选出的菌株可将抗体同时分泌至培养基上清,直接用于亲和力测定。本研究结果充分说明,双功能酵母展示与分泌系统搭建成功并可用于抗体的亲和力成熟中,从而显著提高工作效率、缩短抗体亲和力成熟的周期。展开更多
An improved Guo Tao algorithm （IGT algorithm） is proposed for solving complicated dynamic function optimization problems, and a function optimization benchmark problem with constrained condition and two dynamic para...An improved Guo Tao algorithm （IGT algorithm） is proposed for solving complicated dynamic function optimization problems, and a function optimization benchmark problem with constrained condition and two dynamic parameters has been designed. The results achieved by IGT algorithm have been compared with the results from the Guo Tao algorithm （GT algorithm）. It is shown that the new algorithm （IGT algorithm） provides better results. This preliminarily demonstrates the efficiency of the new algorithm in complicated dynamic environments.展开更多
文摘This paper studies evolutionary mechanism of parameter selection in the construction of weight function for Nearest Neighbour Estimate in nonparametric regression. Construct an algorithm which adaptively evolves fine weight and makes good prediction about unknown points. The numerical experiments indicate that this method is effective. It is a meaningful discussion about practicability of nonparametric regression and methodology of adaptive model-building.
文摘Evolutionary computation is a kind of adaptive non--numerical computation method which is designed tosimulate evolution of nature. In this paper, evolutionary algorithm behavior is described in terms of theconstruction and evolution of the sampling distributions over the space of candidate solutions. Iterativeconstruction of the sampling distributions is based on the idea of the global random search of generationalmethods. Under this frame, propontional selection is characterized as a gobal search operator, and recombination is characerized as the search process that exploits similarities. It is shown-that by properly constraining the search breadth of recombination operators, weak convergence of evolutionary algorithms to aglobal optimum can be ensured.
文摘Evolvable hardware (EHW) realizes circuit function through evolution. It may be viewed as the combination of EAs (evolutionary algorithms) and PLDs (programmable logic devices). At present the main problem is that the speed of evolution is too slow. In order to tackle the problem, we must do work from two aspects: algorithm and device structure. This paper presents a function PLD as a new EHW's structure. So the efficiency of coding is improved, and evolution is sped up. A 4-bit comparator is successfully completed.
文摘This paper discusses complete binary trees as chromosomes of Genetic Algorithm (GA), and proposes the concept of dominant and recessive genes. On the base of it, a new crossover operator with the selective ability was designed. Finally experimental results are presented.
文摘酵母展示技术被广泛应用于抗体药物候选分子的发现与优化中,但传统酵母展示技术只能将抗体展示于表面,无法同时将抗体分泌至培养基的上清液进行亲和力测定。为克服此难点,将含Knob突变的抗体可结晶片断(Fc)展示于酵母表面作为“诱饵”,通过“Knob into Hole”的方式结合含Hole突变的免疫球蛋白(IgG)半分子,达到展示抗体的作用;同时,含Hole突变的IgG半分子自身可形成同源二聚体,形成IgG完整分子分泌至培养基中,实现酵母抗体展示与分泌的双重功能。结果发现:使用含Knob突变的重链恒定区3作为“诱饵”,展示抗体的效果最佳;双功能酵母展示与分泌系统经模拟文库验证,可高效筛选出占比极低的含高亲和力抗体序列的菌株;筛选出的菌株可将抗体同时分泌至培养基上清,直接用于亲和力测定。本研究结果充分说明,双功能酵母展示与分泌系统搭建成功并可用于抗体的亲和力成熟中,从而显著提高工作效率、缩短抗体亲和力成熟的周期。
基金Supported by the National Natural Science Foundation of China(60473081,60133010)
文摘An improved Guo Tao algorithm （IGT algorithm） is proposed for solving complicated dynamic function optimization problems, and a function optimization benchmark problem with constrained condition and two dynamic parameters has been designed. The results achieved by IGT algorithm have been compared with the results from the Guo Tao algorithm （GT algorithm）. It is shown that the new algorithm （IGT algorithm） provides better results. This preliminarily demonstrates the efficiency of the new algorithm in complicated dynamic environments.
