Solution to economic load dispatch using pso a thesis submitted in partial fulfillment of the requirements for the degree of bachelor of technology in electrical engineering by mahesh prasad mishra,108ee007 department of electrical engineering national institute of technology, rourkela may 2012. Illustrations, 31 references, 6 titles particle swarm optimization (pso), which was intended to be a population-based global search method, is known to suffer from premature convergence prior to discovering the true global minimizer in this thesis, a novel regrouping mechanism is proposed, which aims to liberate particles. Discrete particle swarm optimization for flexible flow line scheduling parastoo amiri clemson university follow this and additional works at: http:// tigerprintsclemsonedu/all_theses this thesis is brought to you for free and open access by the theses at tigerprints it has been accepted for inclusion in all theses by an. Improving particle swarm optimization path planning through inclusion of flight mechanics by joseph scott holub a thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of master of science co-majors: mechanical engineering human computer interaction program of study. Department of computer engineering computer engineering programme thesis advisor: assocprof dr şima etaner uyar ocak 2012 i̇stanbul tekni̇k üni̇versi̇tesi̇ fen bi̇li̇mleri̇ ensti̇tüsü a novel particle swarm optimization algorithm yüksek li̇sans tezi̇ öğrenci shahriar asta. This thesis focuses on studying this concept in pso by investigating the different design decisions that influence the cooperative pso models' performance and introducing new approaches for information exchange firstly, a comprehensive survey of all the cooperative pso models proposed in the literature is compiled.
Step-optimized particle swarm optimization a thesis submitted to the college of graduate studies and research in partial fulfillment of the requirements for the degree of master of science in the department of computer science university of saskatchewan saskatoon by thomas schoene c thomas schoene. In this thesis, we introduce a new well pattern optimization procedure that generalizes previous techiniques we will show that this approach is well suited for optimizing large- scale field development 113 particle swarm optimization ( pso) algorithm the particle swarm optimization (pso) algorithm [47, 48, 49, 50] is a. Particle swarm optimization (pso) is one of the most highly cited si techniques for kdd because it has the flexibility, simplicity, and extendibility to be used for different data mining tasks in this thesis, we exploited the potential of pso for data clustering and analyzed the performance of pso in different application areas. Particle swarm optimization: theoretical analysis, modifications, and applications to constrained optimization problems mohammadreza bonyadi, b sc, msc a thesis submitted for the degree of doctor of philosophy (phd) school of computer science faculty of engineering, computer, and mathematical sciences.
Soft partitioning particle swarm optimization this thesis proposes a new algorithm called soft partitioning particle swarm optimization (sppso) which formulates pose tracking as an optimization of the 31 parameters that define the pose of the body model the optimization objective is a fitness function. Tampereen teknillinen yliopisto julkaisu 1455 tampere university of technology publication 1455 jenni raitoharju multidimensional particle swarm optimization for machine learning thesis for the degree of doctor of science in technology to be presented with due permission for public examination. Particle swarm optimization thesis submitted to the school of engineering of the university of dayton in partial fulfillment of the requirements for the degree of master of science in electrical engineering by saiprasanth devarakonda university of dayton dayton, ohio may, 2012.
This bachelor thesis will examine the use of the method of particle swarm optimization (pso) applied to the task of clustering the pixels of an image in particular, we will ex- amine if the results of the so-called mepso algorithm of das et al  can be replicated for color images furthermore, we will look at improvements in. This thesis describes how to adapt the classic particle swarm optimization algorithm to the distributed big data platform spark the solution of the problem is to firstly define the spark data structure (resilient distributed dataset) for our pso algorithm and then create the initialization algorithm for parallel. In computer science, particle swarm optimization (pso) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality it solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles.