Browsing by Subject "Evolutionary computation."

Now showing items 1-7 of 7

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

      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 ...

    • Evaluating Fitness of Patch-Based Terrains in the Use of Video Games 

      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 ...

    • Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation 

      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 ...

    • Implementation and Evaluation of CMA-ES Algorithm 

      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 (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 ...

    • Investigation of Strength Pareto Evolutionary Algorithm 

      Kakarlapudi, Madhumitha (North Dakota State University, 2019)
      The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...

    • Parallel Particle Swarm Optimization 

      Manne, Priyanka (North Dakota State University, 2016)
      PSO is a population based evolutionary algorithm and is motivated from the simulation of social behavior, which differs from the natural selection scheme of genetic algorithms. It is an optimization technique based on swarm ...