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When an object is illuminated, part of the incident light is absorbed by the object that does not contribute to the illumination. If the light source's spectrum can be optimized by decreasing the light energy along the absorbed wavelengths, substantial energy can be saved. In this study, a spectrum optimization method by means of a genetic algorithm to minimize the light energy along the absorbed...
This work adopts a standard Denavit–Hartenberg method to model a PUMA 560 spot welding robot as the object of study. The forward and inverse kinematics solutions are then analyzed. To address the shortcomings of the ant colony algorithm, factors from the particle swarm optimization and the genetic algorithm are introduced into this algorithm. Subsequently, the resulting hybrid algorithm and the ant...
According to the single performance of most distribution network reconfigurations (DNR), this paper presents the multi-objective distribution network optimization model with the optimal network loss, load balancing, and power supply voltage. Combined with the evolution idea of genetic algorithm (GA) and population intellectual technique of particle swarm optimization (PSO) algorithm, it applies hybrid...
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