优良模式自学习遗传算法
An Excellent Schemas Self-Learning Genetic Algorithm
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摘要: 遗传算法是应用比较广泛的一种随机优化算法.文中针对遗传算法在应用过程中出 现的收敛慢等问题提出一种优良模式自学习遗传算法,并且在理论上对算法的收敛性进行分 析.最后,通过多峰函数优化问题的仿真结果证明证了算法的实用性和有效性.Abstract: Genetic algorithm is a widely used stochastic optimization method. The paper presents a self-learning genetic algorithm to solve the problem of slow convergence to the global optimum and analyzes its convergence properties. Finally, the paper demonstrates its utility by two examples of the function optimization problem.
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Key words:
- Self-learning genetic algorithm /
- learning operator /
- excellent schema /
- Markov chain
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