Adaptive Mutation in Genetic Algorithms. Soft Computing, 2000, 4(2): 76-80Marsili Libelli, S., Alba, P., Adaptive mutation in genetic algorithms, Soft Computing, vol. 4, pp. 76-80, 2000.Marsili Libelli, S., Alba, P.: Adaptive mutation in genetic algorithms, Soft Computing - A Fusion...
the application of genetic algorithms in the multimodal function optimisation. In section 4, we outline the Dynamic Parametric AGA approach; of using adaptively varying probabilities of crossover and mutation for economic dispatch optimisation. In Section 5, we present the measures to quantify ...
Although there is limited mathematical evidence that evolutionary algorithms converge to global optima, they do often reach extremely good results [28,29]. 1.2.1 Genetic algorithm The GA is inspired by Charles Darwin's theory of natural evolution, by focusing on the selection, mutation, and cross...
Its global convergence speed and optimal solutions were all better than that of many other algorithms.doi:10.3923/itj.2010.974.978Yan TaishanAsian Network for Scientific InformationInformation Technology JournalAn Improved Adaptive Genetic Algorithm Based on Human Reproduction Mode for Solving the Knapsack...
constraints on the optimization problems. Problems of optimizing metasurfaces with complex geometries, such as binary patterns in this paper, involve discrete solution domains, and discontinuous or non-differentiable objective functions. Among global optimization techniques genetic algorithms (GAs) are the ...
The genetic mixing (mutation with crossover) has to be intensive enough in the higher levels in order to ensure the sufficient diversity of the root and high order branches. The standard deviation of mixing in leafs has to be correlated with the maximum search accuracy. Moreover, it needs ...
Additionally, the control parameters are updated in an adaptive manner to support better exploration as well as exploitation. The proposed algorithm is named as SPS embedded adaptive ADE with trigonometric mutation (SPS-AADE-TM). The modified mutation operation and adaptive parameters can increase the...
Topology optimization of a truss structure under dynamic loads is studied based on adaptive genetic algorithms. 采用自适应遗传算法求解了以脉冲激励下的动力响应作为约束条件、以结构重量最小化为目标函数的桁架结构拓扑优化问题。 3. To the non-linear mathematical model, a kind of adaptive genetic algorith...
1) Adaptive hierarchical genetic algorithm 自适应递阶遗传算法 1. This improved adaptive hierarchical genetic algorithm has better convergence precision and faster convergence speed. 本文将递阶遗传算法的交叉和变异方式进行改进,采用改进的自适应交叉、变异方式进行寻优,这种改进的自适应递阶遗传算法具有更好的收...
In this paper, we propose an efficient technique for the selection of an optimal transmit antenna subset. The proposed antenna selection technique utilizes Genetic algorithm, one of the popular evolutionary computation algorithms, but with adaptive mutation. As the mutation is made self-adaptive, the...