Browsing by Subject "Mathematical optimization."
Now showing items 1-17 of 17
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Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches
(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 ... -
A Closed Form Optimization Model for The Conflict Neutralization Problem
(North Dakota State University, 2010)In this study, we proposed a novel closed form optimization model for the Conflict Neutralization Problem (CKP) and implemented an efficient algorithm for solving the problem. A novel tableau representation of the CNP ... -
Comparison of Particle Swarm Optimization Variants
(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 ... -
Evaluation of a New Bio-Inspired Algorithm: Krill Herd
(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
(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 ... -
Implementation and Evaluation of CMA-ES Algorithm
(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
(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 Multilevel Thresholding Based Ant Colony Optimization Algorithm for Edge Detection of Images
(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, ... -
Investigation of Strength Pareto Evolutionary Algorithm
(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 ... -
Multiresponse Optimization Methodology Considering Related Quality Characteristics
(North Dakota State University, 2011)Engineering problems often involve many conflicting quality characteristics that must be optimized simultaneously. Engineers are required to select suitable design parameter values which provide better trade-off among all ... -
Numerical Methods for Fractional Optimal Control and Parametric Problems
(North Dakota State University, 2011)Fractional derivatives (FDs) or derivatives of arbitrary order have attracted considerable interest in the past few decades, and almost every field of science and engineering has applications of fractional derivatives. ... -
Optimization of Benchmark Functions using Chemical Reaction Optimization
(North Dakota State University, 2013)In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ... -
Parallel Particle Swarm Optimization
(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 Generic PSO Java Code Using MPJExpress
(North Dakota State University, 2013)Many scientific, engineering and economic problems involve the optimization of a set of parameters. The Particle Swarm Optimization (PSO) is one of the new techniques that have been empirically shown to perform well. The ... -
Parallelization of Particle Swarm Optimization Algorithm Using Hadoop Mapreduce
(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, ... -
Particle Swarm Optimization Algorithm: Variants and Comparisons
(North Dakota State University, 2015)Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers and various applications presented using the algorithm. ... -
Real Parameter Optimization Using Differential Evolution
(North Dakota State University, 2013)Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...