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In this paper, a novel method for finding a set of appropriative proportional-integral-derivative (PID) controller parameters in an electro-hydraulic servo control system is presented. In this method, a new genetic algorithm called complex system genetic algorithm (CSGA) is designed, which integrates complex system theory into genetic algorithm and redesigns genetic algorithm's (GA) elements such...
In this study, a novel dynamic agglomerative hierarchical clustering algorithm which combines Boltzmann theory of thermodynamics and a graph-theoretic representation of data objects is put forward for data with non-sphere shape clusters. The new algorithm employs neighbors searching operator and vertices spanning operator to construct the linkage paths between vertices. Additionally, in order to obtain...
Aim at the problem that classical Euclidean distance metric cannot generate a appropriate partition for data lying in a manifold, a genetic algorithm based clustering method using geodesic distance measure is put forward. In this study, a prototype-based genetic representation is utilized, where each chromosome is a sequence of positive integer numbers that represent the k-medoids. Additionally, a...
In this paper, a mutation with cycle probability is designed by simulating the evolutionary rule of the earth creature, and a genetic algorithm based on the cycle mutation, presents the ability in improving search efficiency and overcoming premature to some extent. To further improve performance of the algorithm, the selection is mended according to the phenomena that optimum individual always plays...
First, a cycle mutation genetic algorithm (CMGA) is designed by simulating the evolutionary rule of the earth creature found by paleontologists in the paper. Then, according to some phenomena of the population genetics, an improved cycle mutation genetic algorithm (ICMGA) is schemed by mended the selection operator of CMGA. Last, 22 functions are tested by ICMGA and other evolution algorithms in the...
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