Browsing by Subject "Swarm intelligence."
Now showing items 1-11 of 11
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Agent-Based Modeling to Simulate the Movement of a Flock of Birds
(North Dakota State University, 2013)The most beautiful, mysterious movements of bird flocks have always amused the human and led his thinking towards what makes these complex movements possible. This paper discusses the simulation of such bird behavior based ... -
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 ... -
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 ... -
Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation
(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
(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
(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. ...