نتایج جستجو برای: coded genetic algorithm rc
تعداد نتایج: 1342925 فیلتر نتایج به سال:
Optimization method is important in engineering design and application. Quantum genetic algorithm has the characteristics of good population diversity, rapid convergence and good global search capability and so on. It combines quantum algorithm with genetic algorithm. A novel quantum genetic algorithm is proposed, which is called Variable-boundary-coded Quantum Genetic Algorithm (vbQGA) in whic...
This paper addresses a classification task of pattern recognition by combining effectiveness of evolutionary and gradient descent techniques. We are proposing a hybrid supervised learning approach using real-coded GA and back-propagation to optimize the connection weights of multilayer perceptron. The following learning algorithm overcomes the problems and drawbacks of individual technique by i...
• Amit Saraswat and Ashish Saini, “Principal Component Analysis Based Real Coded Genetic Algorithm for Optimal Reactive Power Dispatch”, Int. J. of Power and Energy Conversion (IJPEC), Inderscience. (In Press) • Amit Saraswat and Ashish Saini, “Optimal Reactive Power Dispatch by an Improved Real Coded Genetic Algorithm with PCA Mutation” Proc. of IET, Second Int. Conf. on Sustainable Energy and...
In Systems Biology, system identification, which infers regulatory network in genetic system and metabolic pathways using experimentally observed time-course data, is one of the hottest issues. The efficient numerical optimization algorithm to estimate more than 100 real-coded parameters should be developed for this purpose. New real-coded genetic algorithm (RCGA), the combination of AREX (adap...
This document describes the RC encryption algorithm a fast symmetric block cipher suitable for hardware or software imple mentations A novel feature of RC is the heavy use of data dependent rotations RC has a variable word size a variable number of rounds and a variable length secret key The encryption and decryption algorithms are exceptionally simple
In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...
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