Indoor lighting optimization: a comparative study between grid search optimization and particle swarm optimization

2019 ◽  
Vol 48 (3) ◽  
pp. 429-441 ◽  
Author(s):  
Purnima Mandal ◽  
Debangshu Dey ◽  
Biswanath Roy
Keyword(s):  
Particle Swarm Optimization ◽  
Comparative Study ◽  
Particle Swarm ◽  
Grid Search ◽  
Swarm Optimization ◽  
Search Optimization ◽  
Indoor Lighting

scholarly journals A comparative study of particle swarm optimization and genetic algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 40
Author(s):  
Saman M. Almufti ◽  
Amar Yahya Zebari ◽  
Herman Khalid Omer
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Comparative Study ◽  
Evolutionary Computation ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Computation Algorithms ◽  
Crossover And Mutation

This paper provides an introduction and a comparison of two widely used evolutionary computation algorithms: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) based on the previous studies and researches. It describes Genetic Algorithm basic functionalities including various steps such as selection, crossover, and mutation.  

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