Improving solution characteristics of particle swarm optimization through the use of digital pheromones, parallelization, and graphical processing units (GPUs)
作者： Vijay Kiran Kalivarapu
DOI: 10.31274/RTD-180813-16911
关键词:
摘要: Optimization has its foundations dating back to the days of Newton, Lagrange, Cauchy, and Leibnitz when differential calculus methods were developed minimize maximize analytical functions. Substantial progress in optimization became more prominent mid late twentieth century digital computers showed promise offloading problem solving into numerical through computer code for faster evaluations
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