To solve this formulation, this paper presents a self-adaptive master-slave parallel genetic algorithm, which meets the real-time requirements of large scale optimization problem and has the capability of global convergence.
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为求解该命题形式,提出一种自适应主从式并行遗传算法,该算法可以满足大规模优化问题的求解实时性要求,具有全局收敛性能。
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