A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Big data may offer opportunities and challenges in global optimization analysis. The dimensionality of the data may have a major influence on the performance of various optimization algorithms. Metaheuristics can be seen as sophisticated and intuitive methods that mimic natural phenomena and explore the solution within a feasible region in order to achieve specific goals. This chapter discusses particle swarm optimization (PSO) method in the context of big data analytics. PSO has been used in the analysis of large data sets. The parameters of PSO can have a major influence on the performance of the PSO. The parameters include number of particles, number of iterations, velocity components and acceleration coefficients. A huge amount of particles may increase the computational complexity. Similarly, a low number of iterations may prematurely stop the iteration. The velocity components tend to provide a memory of flight directions. The acceleration coefficients measure the performance of the particles relative to past performances.
Big data may offer opportunities and challenges in global optimization analysis. The dimensionality of the data may have a major influence on the performance of various optimization algorithms. Metaheuristics can be seen as sophisticated and intuitive methods that mimic natural phenomena and explore the solution within a feasible region in order to achieve specific goals. This chapter discusses particle swarm optimization (PSO) method in the context of big data analytics. PSO has been used in the analysis of large data sets. The parameters of PSO can have a major influence on the performance of the PSO. The parameters include number of particles, number of iterations, velocity components and acceleration coefficients. A huge amount of particles may increase the computational complexity. Similarly, a low number of iterations may prematurely stop the iteration. The velocity components tend to provide a memory of flight directions. The acceleration coefficients measure the performance of the particles relative to past performances.
Basic Metaheuristics
Attoh‐Okine, Nii O. (author)
Big Data and Differential Privacy ; 235-240
2017-06-26
6 pages
Article/Chapter (Book)
Electronic Resource
English
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