[PDF] Top 20 Minimization of the Wilson’s Central Terminal voltage potential via a genetic algorithm
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Minimization of the Wilson’s Central Terminal voltage potential via a genetic algorithm
... Similarly to previous studies [9, 10], the WCT and M-WCT amplitudes are measured averaging five con- secutive beats for each dataset and reported as a per- centage of lead II. We used the orientation of the QRS complex ... See full document
5
Enhancement of voltage profile and loss minimization in distribution system using genetic algorithm
... for minimization of real power losses and load balancing among the distribution feeders to save energy and enhance the overall performance of the distribution ...loss minimization, peak saving, over load ... See full document
8
Minimization of Boolean Functions Using Genetic Algorithm
... of minimization of Boolean ...a genetic algorithm with non-identical ...for minimization. After finishing genetic algorithm, we had 2 nw(variables) set of adjacencies ... See full document
5
EXTRUSION DIE LOAD MINIMIZATION USING GENETIC ALGORITHM AND SIMULATED ANNEALING ALGORITHM
... the minimization of extrusion ...objective genetic algorithm in the ...the genetic algorithm is compared with the simulated annealing algorithm for ...by genetic ... See full document
7
Optimal Placement of Capacitor and DG for Minimization of Power Losses using Genetic Algorithm and Artificial Bee Colony Algorithm
... ABC algorithm, Genetic algorithm, Distribution System, load flow, power system ...ABC algorithm on 33, 69, 229 bus radial test systems In solving non linear optimization problems and ... See full document
7
Distributed Generation Allocation For Power Loss Minimization And Voltage Improvement Of Radial Distribution Systems Using Genetic Algorithm
... the voltage at nodes (nodes) reduces if moved away from ...in voltage is mainly due to insufficient amount of reactive ...to voltage collapse. Thus to improve the voltage profile and to avoid ... See full document
158
Error Minimization in Localization of Wireless Sensor Networks using Genetic Algorithm
... accuracy. Genetic algorithm is proven to be effective in searching a solution space and hence can be modeled for the localization problem in Wireless Sensor Network ...localization algorithm based on ... See full document
5
Tabu search and genetic algorithm for scheduling with total flow time minimization
... walk algorithm is ...tardiness minimization, but this objective function is reduced to total flow time just considering all weights 1 and all due dates ...Metropolis algorithm so they can accept worse ... See full document
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Weighted tardiness minimization in job shops with setup times by hybrid genetic algorithm
... 4.1 The Neighborhood Structure As usual, this structure is based on changing processing orders in a critical block. However, the number of critical paths in a problem instance is usually large and so not all candidate ... See full document
10
A Novel Approach for Light Trail Minimization Using Genetic Algorithm in Optical Networks
... Soumya Paul, Assoc. Professor and Head, Department of Computer Application in B. P. Poddar Institute of Management & Technology, Kolkata, has been in teaching and research for over 12 years. He holds a Master’s Degree in ... See full document
10
Design and application of Genetic Algorithm for Fuel Cost Minimization to ensure secure operation of Power System
... 1 [email protected], 2 [email protected], 3 [email protected] Abstract— Presented work focuses on optimal power flow analysis. The major objective for this system is to minimize fuel cost without ... See full document
7
Enhancement of Voltage Stability by SVC and TCSC Using Genetic Algorithm
... like voltage instability and power ...using Genetic Algorithm ...the minimization of Voltage Stability Index (VSI), minimization of power losses and minimization of ... See full document
7
Voltage constrained optimal power flow based using genetic algorithm
... In the discussed cases in this study the objective is the minimization, the fi tness is the reciprocal of the maximum value so that the fi tness value is determined by a shared objective function. Objective function ... See full document
6
Minimization of Active Power Loss and Voltage Profile Fortification by Using Differential Evolution – Harmony Search Algorithm
... bus voltage magnitudes, transformer tap setting and the output of reactive power sources so as to minimize the real power loss and to boost the voltage stability of the ...as genetic algorithms have ... See full document
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GENETIC ALGORITHM BASED ONLINE POWER NETWORK RECONFIGURATION FOR VOLTAGE STABILITY IMPROVEMENT
... the voltage Stability of a system can be improved if the overall active power loss in the system is ...system-wide voltage stability can be ...Loss minimization, thus, can be achieved by modifying ... See full document
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MULTI-OBJECTIVE GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION INCLUSING VOLTAGE STABILITY
... multi-objective genetic algorithm method is applied to optimize the reactive power dispatch ...are minimization of the losses and maximization of the voltage stability ...generator ... See full document
15
Minimization of Error in Exponential Model Estimation via Jackknife Algorithm
... the Minimization of Error in exponential model Estimation via Jackknife ...An algorithm for the estimation of nonlinear regression parameters was ...based algorithm developed yielded a reduced ... See full document
11
Real Time Voltage Control using Genetic Algorithm
... bus voltage and generator reactive power constraint violations are eliminated with control action selection is presented in this ...bus voltage values are further ... See full document
8
The Evolution of Genomic Imprinting via Variance Minimization: An Evolutionary Genetic Model
... this genetic system could have evolved in the face of the selective advantages of ...evolutionary genetic model incorporating both this selection pressure and deleterious mutations to elucidate the ... See full document
18
Dynamic Load-Balancing via a Genetic Algorithm
... our genetic approach to scheduling is untenable; instead it means it will be practical only if a time unit is greater that one-hundredth of a second, such as perhaps one-tenth of a second as opposed to ... See full document
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