1,323 research outputs found
The Novel Approach of Adaptive Twin Probability for Genetic Algorithm
The performance of GA is measured and analyzed in terms of its performance
parameters against variations in its genetic operators and associated
parameters. Since last four decades huge numbers of researchers have been
working on the performance of GA and its enhancement. This earlier research
work on analyzing the performance of GA enforces the need to further
investigate the exploration and exploitation characteristics and observe its
impact on the behavior and overall performance of GA. This paper introduces the
novel approach of adaptive twin probability associated with the advanced twin
operator that enhances the performance of GA. The design of the advanced twin
operator is extrapolated from the twin offspring birth due to single ovulation
in natural genetic systems as mentioned in the earlier works. The twin
probability of this operator is adaptively varied based on the fitness of best
individual thereby relieving the GA user from statically defining its value.
This novel approach of adaptive twin probability is experimented and tested on
the standard benchmark optimization test functions. The experimental results
show the increased accuracy in terms of the best individual and reduced
convergence time.Comment: 7 pages, International Journal of Advanced Studies in Computer
Science and Engineering (IJASCSE), Volume 2, Special Issue 2, 201
Evolution of Co-operation When the Strategies are Hidden: The Human Mating Game
Defection is frequently seen in co-operative systems [1-3]. Game theoretical solutions to stabilize cooperation rely on reciprocity and reputation in iterated games[4-5]. One of the basic requirements for reciprocity or reputation building is that the strategies of players and the resulting payoffs should be open at the end of every interaction. For games in which the strategies and payoffs remain hidden, these stabilizing factors are unlikely to work. We examine the evolution of cooperation for hidden-strategy games using human mating game as an example. Here faithful parenting can be considered as cooperation and extra-pair mating (EPM) or cuckoldry as defection. Cuckoldry may get exposed only occasionally and the genetic benefits of cuckoldry also remain hidden from the players. Along with mate guarding, social policing is enabled in humans by language and gossiping. However, social policing can be invaded by second order free riders. We suggest that opportunistic blackmailing, which is unique to hidden strategy games can act as a keystone strategy in stabilizing co-operation. This can counteract free riding and stabilize policing. A game theoretical model results into a rock - paper – scissor (R-P-S) like situation with no evolutionary stable strategy (ESS). Simulations result into a stable or stably oscillating polymorphism. Obligate monogamy is an essential trait in the co-existence. In a gender difference model too, polymorphism is seen in both genders but with different traits predominating in the two genders. The model explains intra-gender, inter-gender as well as cross cultural variability in mating strategies in humans
Analysis of a Gibbs sampler method for model based clustering of gene expression data
Over the last decade, a large variety of clustering algorithms have been
developed to detect coregulatory relationships among genes from microarray gene
expression data. Model based clustering approaches have emerged as
statistically well grounded methods, but the properties of these algorithms
when applied to large-scale data sets are not always well understood. An
in-depth analysis can reveal important insights about the performance of the
algorithm, the expected quality of the output clusters, and the possibilities
for extracting more relevant information out of a particular data set. We have
extended an existing algorithm for model based clustering of genes to
simultaneously cluster genes and conditions, and used three large compendia of
gene expression data for S. cerevisiae to analyze its properties. The algorithm
uses a Bayesian approach and a Gibbs sampling procedure to iteratively update
the cluster assignment of each gene and condition. For large-scale data sets,
the posterior distribution is strongly peaked on a limited number of
equiprobable clusterings. A GO annotation analysis shows that these local
maxima are all biologically equally significant, and that simultaneously
clustering genes and conditions performs better than only clustering genes and
assuming independent conditions. A collection of distinct equivalent
clusterings can be summarized as a weighted graph on the set of genes, from
which we extract fuzzy, overlapping clusters using a graph spectral method. The
cores of these fuzzy clusters contain tight sets of strongly coexpressed genes,
while the overlaps exhibit relations between genes showing only partial
coexpression.Comment: 8 pages, 7 figure
Improved phase shedding technique in a multiphase converter system
Multiphase converters are increasingly gaining prominence in the field of power electronics. The main advantage of a multiphase converter is its increased efficiency in comparison to a single phase converter. The one major drawback of a multiphase converter is its light load efficiency. Light load efficiency in multiphase converters is very poor when compared to single phase converters. Phase shedding is one of the approaches used to improve this light load efficiency but the transient output voltage response of the system shows large deviations during the process of phase change. This thesis proposes a new technique, called the ramp control technique, to improve this transient behavior. Ramp control technique, proposes to gradually shed a phase or phases of the converter at light loads, instead of abruptly shutting it down. This is done by decreasing the duty cycle of the phase gradually to zero. In this thesis, a moving average model of the ramp control technique is constructed and the slope required for this technique is calculated on the basis of different parameters. The performance of the ramp control technique is also compared with the various conventional methods proposed in literature and it has been proved analytically and through simulation results that the ramp control technique has better dynamic performance when compared to the conventional methods. --Abstract, page iii
One Hundred Colors of Violence: Ethnic Conflict Variation Across Non-Democratic Regimes
HonorsUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/162599/1/apmulpur.pd
The Effect of Augmented Reality Feature of Complete Anatomy Application on Educational Outcomes in Students with Autism Spectrum Disorder
Uncovering Randomness and Success in Society
An understanding of how individuals shape and impact the evolution of society
is vastly limited due to the unavailability of large-scale reliable datasets
that can simultaneously capture information regarding individual movements and
social interactions. We believe that the popular Indian film industry,
'Bollywood', can provide a social network apt for such a study. Bollywood
provides massive amounts of real, unbiased data that spans more than 100 years,
and hence this network has been used as a model for the present paper. The
nodes which maintain a moderate degree or widely cooperate with the other nodes
of the network tend to be more fit (measured as the success of the node in the
industry) in comparison to the other nodes. The analysis carried forth in the
current work, using a conjoined framework of complex network theory and random
matrix theory, aims to quantify the elements that determine the fitness of an
individual node and the factors that contribute to the robustness of a network.
The authors of this paper believe that the method of study used in the current
paper can be extended to study various other industries and organizations.Comment: 39 pages, 12 figures, 14 table
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