Abstract
Particle Swarm Optimization and Genetic Algorithm are bionic optimization algorithms. This paper takes CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> louvered micro-channel gas cooler as an example and achieves multi-objective optimization with the objective function of maximum heat exchange and minimum cost. The optimization results show that the optimized results by both Particle Swarm Optimization and Genetic Algorithm are better than before optimization, and the optimization speed of Particle Swarm Optimization is faster. So it is practical to use Particle Swarm Optimization algorithm and Genetic Algorithm to optimize the design of CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> louver microchannel gas cooler system
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