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The assessment of brain development is indubitably of critical importance specifically in the first two years of life. In comparison with the developments of other organs, the process of brain maturation from birth to two years of life is very meteoric. As a result of the complications of the study of the newborn brain, scarce researches have been done in this field. Spatial normalization, which modifies...
Search engines resolve the most informational needs of users by indexing huge amounts of data from web pages. In this process, spam pages prevent users from reaching their desirable results. Spam pages use deceptive methods to get a higher rank than their real one in search engines. For a human expert, recognition of spam pages is an easy task, but it is too complicated for a machine. Regarding the...
Differential evolution (DE) algorithm is a stochastic population-based optimization algorithm, which is widely used in solving various optimization problems. It has been shown that differential evolution (DE) algorithm is an effective, efficient, reasonably fast, reliable, and robust optimizer for many real-world applications. However, like any other evolutionary algorithms, DE does not guarantee...
Down syndrome, the most prevalent chromosome disorder in mankind, occurs approximately in one per thousand infants born per a year. Also, life expectancy of people suffering from this irregularity has increased from 25 to 59 in the last decades. Recognizing such patients in critical and high security places like security gates could assist responsible people to make proper decisions. This irregularity...
Grid computing is a collection of geographically heterogeneous distributed computational resources that enables users for sharing data and other computing resources. One of the major challenges in grid computing is how to schedule batch jobs across such an environment with minimum makespan (the finishing time of the last job) and flow time. In this study, a hybrid batch job scheduling method is proposed...
In the recent years, many heuristic optimization algorithms derived from the behavior of biological or physical systems in nature have been developed. In this paper, we propose a new optimization algorithm based on competitive behavior of group animals. The competition gradually results in an increase in population of wealthy group which gives a fast convergence to the optimization algorithm. In the...
Artificial Bee Colony (ABC) algorithm is a swarm-based optimization algorithm with advantages like simplicity and proper exploration ability. However, it suffers from improper exploitation in solving complicated problems. In order to overcome this disadvantage, modifications on all three bee types are proposed. By introducing a new procedure for the scout bees and modifying the search patterns of...
Swarm intelligence algorithms have been successfully applied as optimization tools in various applications, such as biology, commerce, and engineering. This paper presents BRADO (BRAin Drain Optimization) algorithm as a new socio-inspired swarm intelligence approach, in which the search algorithm is inspired by the process of brain drain phenomenon. In order to evaluate the BRADO performance, it was...
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