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More particularly, Genetic Algorithms, Artificial Neural Networks and Fuzzy Logic methods seem to be the most promising tools to speed up and optimize the search for new leads and focused libraries.
      
Herein we describe the 3D QSAR study of 4-anilinoquinoline-3-carbonitrile by Genetic Function Approximation (GFA) and Comparative Molecular Field Analysis (CoMFA).
      
In this paper a hybrid algorithm which combines the pattern search method and the genetic algorithm for unconstrained optimization is presented.
      
The algorithm is a deterministic pattern search algorithm, but in the search step of pattern search algorithm, the trial points are produced by a way like the genetic algorithm.
      
Novel Quantum Genetic Algorithm and Its Applications
      
By introducing strong parallelism of quantum computing into evolutionary algorithm, a novel quantum genetic algorithm (NQGA) is proposed.
      
The experimental results show that the new algorithm not only has great advantage of convergence property over genetic algorithm and PSO, but can also avoid the premature convergence problem effectively.
      
By using genetic algorithm, GML is realized, and the simulation results illustrate its improved performance compared with DML, especially in the case of multiclusters of coherent sources.
      
We develop a heuristic embedded genetic algorithm for the special model solution.
      
Optimal approximation of head-related transfer function's pole-zero model based on genetic algorithm
      
Based on the analysis of the HRTFs' spectrum and some perspectives of psychoacoustics, this paper applied multiple demes' parallel and real-valued coding genetic algorithm (GA) to approximate the HRTFs' zero-pole model.
      
In order to improve the precision of the target detection in wireless sensor networks, a new approach based on genetic algorithm (GA) was proposed to optimize the placement of the sensor.
      
Topology control based on quantum genetic algorithm in sensor networks
      
The algorithm of topology control based on quantum genetic algorithm in sensor networks is proposed.
      
An advantage of the quantum genetic algorithm over the conventional genetic algorithm is demonstrated in simulation experiments.
      
Genetic Diversity of RAPD Mark for Natural Davidia involucrata Populations
      
The genetic diversity and genetic variation within and among populations of five natural Davidia involucrata populations were studied from 13 primers based on random amplified polymorphic DNA (RAPD) analysis.
      
involucrata population has a rich genetic diversity, and the differences among populations are significant.
      
Twenty-six percent of genetic variation exists among D.
      
Genetic diversity of natural Hepatacodium miconioides populations in Zhejiang Province
      
 

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