“…For example, Monte Carlo (MC) and particle swarm optimization (PSO) based search methods have been developed for zoom lens starting design generation. [1][2][3][4][5][6][7] Particle swarm optimization is an optimization algorithm that mimics the foraging behavior of animals found in nature. PSO is a good choice for many optimization problems, as it is does not require a gradient to be calculated and is simple to understand and implement.…”
When designing a zoom lens, a good starting design is crucial. Several unique thin lens starting designs can be efficiently generated with particle swarm optimization and k-means clustering.
“…For example, Monte Carlo (MC) and particle swarm optimization (PSO) based search methods have been developed for zoom lens starting design generation. [1][2][3][4][5][6][7] Particle swarm optimization is an optimization algorithm that mimics the foraging behavior of animals found in nature. PSO is a good choice for many optimization problems, as it is does not require a gradient to be calculated and is simple to understand and implement.…”
When designing a zoom lens, a good starting design is crucial. Several unique thin lens starting designs can be efficiently generated with particle swarm optimization and k-means clustering.
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