[PDF] Top 20 Initial Enhancement : A Technique to Improve the Performance of Genetic Algorithms

... the performance of this technique are the ‘number of mutover populations’ and the ‘rate of mutation’ during generation of new solutions of mutover population using fittest_member_uptil_now in the ... See full document

... system performance depends on the calibration accuracy of CCD camera parameter ...to improve the performance of visual measuring system and reduce the CCD camera parameters’ influence to overall ... See full document

... learning technique where neural network (NN) as classifier is combined with genetic algorithms (GA) to improve the performance of NNs in solving practical problems such as breast cancer ... See full document

... through genetic algorithm in first ...bound technique, the scenarios of city selection has following similarly in Branch and Bound ...both algorithms, the overall performance of Branch and ... See full document

... Image enhancement process consists of a collection of techniques that seek to improve the visual appearance of an image or to convert the image to a form better suited for analysis by a human or ...image ... See full document

... the performance and operation of a ...fixed-size algorithms cannot be used in different networks with the used data ...Thus, algorithms that use fixed sizes for competition windows will be restricted ... See full document

... planned technique queries more proficiently and is effective at providing excellent classification accuracy with a couple of characteristics ...classification performance of ...initialization ... See full document

... GA’s are not only an integral part of MA’s implementations but are still in wide use among engineers in all fields of engineering and multi-disciplinary optimization [Rajkumar et. al., (2008); Paulinas and Usinskas, ... See full document

... A powerful class of optimization methods is the family of GA. The GA become particularly suitable for the problem posed here. GA based on power loss minimization and energy loss optimization technique is proposed ... See full document

... the performance analysis of preprocessing algorithms for enhancement fea- tures on mammograms with the objective of improving future clustering processing investigations, space frequency filtering ... See full document

... It is known that fingerprint and face authentication system combined with soft biometrics has faster response time as compare with “fingerprint and face” authentication system. Proposed scheme (as shown in figure 2) ... See full document

... (1960), Genetic Algorithms appear to be very well suited for suppor ting the design and choice phases of ...can improve the quality of decision- ... See full document

... the technique of communicating using hidden messages, often disguised within something else(such as an image) where one would not expect a message to be hidden ... See full document

... preprocessing technique used for the removing noise and filter the data also can remove missing ...The technique MI will make ranking of the attributes and we are choosing top 15 ...the technique ... See full document

... wide genetic variation in amount and solubil- ity and the high heritability, particularly in white flour, suggest it as an attractive target for breeders and the iden- tification of major QTL is leading to the ... See full document

... 5. P. Schramm and R. Muller, “Pilot symbol assisted BPSK on Rayleigh fading channels with diversity: Performance analysis and parameter optimization,” IEEE Transaction on communication, vol. 46, no. 12, pp. ... See full document

... Unsupervised learning algorithms can be applied to our unlabeled data, Clustering is one of them. Cluster analysis is not a specific algorithm. It contains several models. The basic steps of K-means algorithm is ... See full document

... The level that an athlete performs on any given day depends on five main things, physical skills, and mental skills, level of technical skill, strategic awareness, and chance. "Chance" is all those variables that ... See full document

... performance enhancement over the bubble sort, but the insertion sort is almost double of the bubble sort and is just as easy to implement as the selection ...sorting algorithms. Some of the sorting ... See full document

... thought that new functions require novel genes, whole genome sequencing has shown that apparent increases in developmental complexity do not correlate with increasing numbers of genes [2]: the number of genes in the ... See full document