Now showing items 1-20 of 30

    • Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches 

      Amanchi, Srinivas Adithya; Amanchi, Srinivas Adithya (North Dakota State University, 2014)
      Recently, in many experimental studies, the statistical analysis of nonparametric comparisons has grown in the area of computational intelligence. The research refers to application of different techniques that are used ...
    • Classification Algorithms Applied to a Brain Computer Interface System Based On P300 

      Gaur, Himanshu; Gaur, Himanshu (North Dakota State University, 2017)
      A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...
    • Comparison of Particle Swarm Optimization Variants 

      Daggubati, Satyanarayana; Daggubati, Satyanarayana (North Dakota State University, 2012)
      Particle swarm optimization (PSO) is a heuristic global optimization method, which is based on swarm intelligence. It is inspired by the research on the bird and fish flock movement behavior. The algorithm is widely used ...
    • Evaluating Fitness of Patch-Based Terrains in the Use of Video Games 

      Bhurale, Lohit; Bhurale, Lohit (North Dakota State University, 2017)
      This paper deals with current an existing evolutionary algorithm used in procedural terrain generation content for video games which is gaining interest to lessen the development costs and meet desired user requirements ...
    • Evaluation of a New Bio-Inspired Algorithm: Krill Herd 

      Madamanchi, Devi; Madamanchi, Devi (North Dakota State University, 2014)
      Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization problems in response to biological ...
    • Evaluation of Firefly Algorithm Using Benchmark Functions 

      Kundur, Anuroop; Kundur, Anuroop (North Dakota State University, 2013)
      The field of nature inspired computing and optimization techniques have evolved to solve the difficult optimization problems in diverse fields of engineering, science and technology. The Firefly algorithm is one of the ...
    • Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation 

      Kasam, Shashi Kanth; Kasam, Shashi Kanth (North Dakota State University, 2016)
      Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter ...
    • GPU Enabled Particle Swarm Optimization 

      Killada, Bala Venkata Rama Kishore; Killada, Bala Venkata Rama Kishore (North Dakota State University, 2017)
      GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...
    • Graphical Simulation for Unmanned Aerial Vehicle Mission 

      Gebremariam, Alemayehu; Gebremariam, Alemayehu; Gebremariam, Alemayehu; Gebremariam, Alemayehu (North Dakota State University, 2014)
      Unmanned Aerial Vehicles (UAVs) are automated flying planes currently focused on military and civilian applications. This work simulates the motion of UAV in the battlefield environment; making use of the theoretical ...
    • Historical Analysis and Estimation Tool for Energy Trading 

      Sambaraju, Sharath Chandra; Sambaraju, Sharath Chandra (North Dakota State University, 2014)
      Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree ...
    • Implementation and Evaluation of CMA-ES Algorithm 

      Gagganapalli, Srikanth Reddy; Gagganapalli, Srikanth Reddy (North Dakota State University, 2015)
      Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ...
    • Implementation of a Clonal Selection Algorithm 

      Valluru, Srikanth; Valluru, Srikanth (North Dakota State University, 2014)
      Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and ...
    • Implementation of a Medical Decision Making Tool 

      Gadiparthi, Sudheer; Gadiparthi, Sudheer (North Dakota State University, 2014)
      Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation ...
    • Implementation of Multilevel Thresholding Based Ant Colony Optimization Algorithm for Edge Detection of Images 

      Kanajal Chandrakanth, Spoorthy; Kanajal Chandrakanth, Spoorthy (North Dakota State University, 2017)
      Edges in an image characterize object boundaries in an image, which is helpful in image processing and feature extraction in a particular scene. One of the methods used to detect edges in an image is image thresholding, ...
    • Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters 

      Shevkar, Rupali; Shevkar, Rupali (North Dakota State University, 2015)
      One versatile and popular method for the clustering analysis is fuzzy clustering. This clustering method allows the individual data points to belong to more than one cluster with varying degree of membership with the ...
    • Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression 

      Depa, Amarender Reddy; Depa, Amarender Reddy (North Dakota State University, 2017)
      Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ...
    • Job Scheduling with Genetic Algorithm 

      Barat, Debarshi; Barat, Debarshi (North Dakota State University, 2013)
      In this paper, we have used a Genetic Algorithm (GA) approach for providing a solution to the Job Scheduling Problem (JSP) of placing 5000 jobs on 806 machines. The GA starts off with a randomly generated population of 100 ...
    • A Map Reduce Approach of K-Means++ Algorithm with Initial Equidistant Centers 

      Bhattacharyya, Krittika; Bhattacharyya, Krittika (North Dakota State University, 2015)
      Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the ...
    • Market Basket Analysis Algorithm with MapReduce Using HDFS 

      Nuthalapati, Aditya; Nuthalapati, Aditya (North Dakota State University, 2017)
      Market basket analysis techniques are substantially important to every day’s business decision. The traditional single processor and main memory based computing approach is not capable of handling ever increasing large ...
    • Naïve Bayes Classifier: A MapReduce Approach 

      Zheng, Songtao; Zheng, Songtao (North Dakota State University, 2014)
      Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ...