This paper presents a new feature selection method by modifying fitness function of genetic algorithm. Our implementation environment is a face recognition system which uses genetic algorithm for feature selection and k-Nearest Neighbor as a classifier together with our proposed Swap Training. In each iteration of genetic algorithm for assessment of one specific chromosome, swaps training switc...

An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization and simulation methodology, to evaluate a multi-objective fitness function which includes both the suitability of the filter transfer function and the transition activity of digital blocks. The proper choice of fitness fu...

hazards in different areas have different effects and consequences. nowadays considering industries vital conditions, it seems necessary to boost organizations confronting uncertainties and risks. one solution for reducing these risks, is increasing agility, stability and flexibility in production process. this study tries to increase organization capabilities in supply chain hazards handing, u...

breeding for resistance is one of the main approaches to control diseases. in this approach, there is a necessary for existence a sufficient genetic variability of resistance genes. accordingly, assessing the genetic variability in the available germplasm is needed to manage genetic resources. molecular markers are effective tools to investigate genetic diversity for resistance to pathogens. nb...

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

In this paper, a fuzzy decision algorithm is proposed to select the most suitable advanced manufacturing system (AMS) alternative from a set of mutually exclusive alternatives. Both economic evaluation criterion and strategic criteria such as #exibility, quality improvement, which are not quantitative in nature, are considered for selection. The economic aspects of the AMS selection process are...

Malaysia has initiated a range of pre-project activities in preparation for its planned nuclear power programme. Clearly one of the first steps is the selection of sites that are deemed suitable for the construction and operation of a nuclear power plant. Here we outline the Malaysian regulatory requirements for nuclear power plant site selection, emphasizing details of the selection procedures...

Several wireless systems that seek to exploit multiuser or spatial diversity need to opportunistically select a ‘best’ node from among the many available nodes. This is done on the basis of a suitability metric that is locally known at each node, and is initially not known elsewhere. While a fast, scalable, multiple access based algorithm is known today for doing this in a distributed manner, i...

A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection, steady-state selection with varying generation gap, a simple model of Eshelman’s CHC algorithm, and (μ + λ) evolution strategies. The effects ...

the objective of this study was to classify the shoosh aquifer to several zones with different water quality in khuzestan province, iran. in this regard, the performance of classification methods (discriminant function and cluster analysis) for the classification of groundwater based on the level of pollution with an emphasis on the problem of over-fitting in training data were considered. an o...