[PDF] Top 20 Algorithm-Based Output Phase Optimization for PLA's
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Algorithm-Based Output Phase Optimization for PLA's
... method based on the logic optimization and naive ...the output phase assignment problem is to generate all 2 m possibleassignments form output functions, obtain a minimized PLA ... See full document
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A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... (mcABC) algorithm for constrained optimization ...power optimization. Wei Gao et al. (2014) improved ABC algorithm and proposed improved artificial bee colony algorithm based ... See full document
6
Error Minimization in Localization of Wireless Sensor Networks using Genetic Algorithm
... The first phase uses a traditional range free localization algorithm based on Mobile anchor to estimate the location of a sensor node roughly.. The second phase is a post optimization ph[r] ... See full document
5
Technical economical optimization of horizontal axis wind turbines by means of the genetic algorithm
... method based on the genetic algo- rithm for wind turbines’ optimization in an attempt to reduce turbine construction cost but to enhance output ...The optimization variables were decided to be ... See full document
8
OPTIMAL DESIGN OF SINGLE PHASE TRANSFORMER USING BACTERIAL FORAGING ALGORITHM
... design optimization techniques have appeared in the ...design based on the knowledge about the localized flux distribution, both in the corners and in the ...genetic algorithm-neural network approach ... See full document
8
Design of a Wideband Differential Phase Shifter with the Application of Genetic Algorithm
... Global optimization is performed using the TL model followed by a local optimization based on a more accurate electromagnetic ...the phase shifters above are too complex and difficult to ... See full document
5
Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification
... Fully mechanized mining of coal mines can cause massive movement and stress redistribution in the over- lying strata with significant changes in the stresses of the coal wall which offers supporting pressure in front of ... See full document
15
Performance Analysis of LFC in Multi Area Power System Using hybrid Firefly Algorithm
... Craziness based Particle Swarm Optimization (CPSO). A firefly algorithm optimized fuzzy PID controller for AGC of multi-area multi-source power systems with UPFC and SMES ...FA optimization ... See full document
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ABSTRACT : A new approach of Harmonic Optimization of a single phase 5-level Cascaded Inverter using Selective
... Harmonic Optimization of a single phase 5-level Cascaded Inverter using Selective Harmonic Elimination (SHE) is proposed in this ...Genetic Algorithm and Particle Swarm Optimization through ... See full document
11
A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... clustering algorithm that first collected the statistical data samples and then analyse their features and then finally classifies them to different ...clustering algorithm focus on the multidimensional is ... See full document
6
MIMO Radar Ambiguity Optimization using Phase Coded Pulse Waveforms
... Further, a numerical optimization algorithm based on simulated annealing is proposed for designing parameters of the phase coded pulse waveforms that minimize the peak of the ambiguity f[r] ... See full document
6
An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems Pages 535-560 Download PDF
... TLBO algorithm by Rao et ...the algorithm were not investigated in ...TLBO algorithm to identify its effect on the exploration and exploitation capacity of the ...TLBO algorithm, after ... See full document
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Fault Section Estimation In Electric Power Systems UsingTeaching Learning Based Optimization Algorithm
... In this phase, the students enhance their grade by interacting with each other. In other words, a student shares his knowledge with another student which is selected randomly from the classroom. The selected ... See full document
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A Constraint programming-based genetic algorithm for capacity output optimization
... Crossover and mutation were repeated until satisfactory result was achieved. Partially mapped and cycle crossover were applied (Yusof & Deris, 2010). Partially mapped single point crossover was selected as it can ... See full document
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A Hybrid Multi-Agent Routing Algorithm Based on Ant Colony Optimization for MANET
... This phase is responsible for generating alternative routes in case the existing route ...discovery phase. Ant algorithm provides multiple ...ant algorithm does not break down on failure of ... See full document
7
Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems Pages 29-50 Download PDF
... TLBO algorithm with other evolutionary and swarm intelligence based ...other optimization algorithms. However, in general, the algorithm which requires less number of function evaluations to ... See full document
22
A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems Pages 1-22 Download PDF
... MO-ITLBO algorithm is assessed by implementing it for the parameter optimization of 20 well defined benchmark functions of CEC 2009 (Zhang et ...of optimization to compare the performance of ... See full document
22
An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks
... To promote the accuracy of recommendation trust, multiple indicators, such as communication behavior, node’s residual energy, and the number of normal packets, are taken into consideration. Then, the model defines the ... See full document
10
Designing of Hybrid RSA Encryption Algorithm for Cloud Security
... encryption algorithm for cloud ...Encryption algorithm(HE- RSA) has been proposed which is based on RSA Small-eand Efficient ...This algorithm provides more security than RSA as dual ... See full document
7
Research on sensor network optimization based on improved Apriori algorithm
... Apriori algorithm is trapped in local convergence after 100 itera- tions because the search step is ...the algorithm itself cannot jump out of local convergence, and the conver- gence accuracy of the final ... See full document
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