Now showing items 1-3 of 3

    • GPU Enabled Particle Swarm Optimization 

      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 ...
    • 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 ...
    • Parallelization of Particle Swarm Optimization Algorithm Using Hadoop Mapreduce 

      Ghosh, Priyanka Singh (North Dakota State University, 2016)
      Particle Swarm Optimization (PSO) has received attention in many research fields and real-world applications for solving optimization problems in the areas of intelligent transportation systems, wireless sensor networks, ...