modified genetic algorithm (MGA)
A Novel Approach to Design of Microstrip UWB Bandpass Filter Using Modified Genetic Algorithm
... using modified genetic algorithm (MGA) is proposed in this ...The modified genetic algorithm is then applied to simultaneously search for the appropriate circuit topology and the ...
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Identification of discrete-time dynamic systems using modified genetic algorithm
... f modified genetic algorithm (MGA) and the simulation studies conducted using the proposed ...simple genetic algorithm (SGA) are discussed to provide basis for the development o f the ...
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SPC based software reliability using Modified Genetic Algorithm: GO model
... modified genetic algorithm (MGA) to estimate the parameter of the SRGMs. We will attempt to modify GA’s operators with weighted bit mutation and a rebuilding mechanism to improve the performance and ...
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FPGA IMPLEMENTATION OF FOUR PHASE CODE DESIGN USING MODIFIED GENETIC ALGORITHM (MGA)
... the Modified Genetic Algorithm for identifying the good pulse compression sequences based on Discrimination ...based Genetic Algorithm is its inherent speed over Software based ...based ...
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A Modified Genetic Algorithm Initializing K-Means Clustering
... clustering algorithm is proposed called Modified Genetic Algorithm Initializing KM ...the Genetic Algorithm as an initialization method for K-means clustering but features ...
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AN OPTIMAL SOLUTION TO MULTIPLE TRAVELLING SALESPERSON PROBLEM USING MODIFIED GENETIC ALGORITHM
... This paper presents the technique to solve the multiple travelling salesperson problem using a modified genetic algorithm. As per the requirement & the application, the minimum number of cities ...
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MODIFIED GENETIC ALGORITHM BASED SOFTWARE RELIABILITY USING SPRT: RAYLEIGH MODEL
... In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon ...
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A Novel Technique for Generation of Test Cases based on Bee Colony Optimization and Modified Genetic Algorithm (BCOmGA)
... Software testing is a process that is used to validate and verify the developed program to ensure that it satisfies the customers and developers requirements [1] [2]. Now industry is in mature stage and lots of upgrades ...
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MODIFIED GENETIC ALGORITHM TO DETERMINE THE LOCATION OF THE DISTRIBUTION POWER SUPPLY NETWORKS IN THE CITY
... a modified genetic ...basic genetic crossbreeding operations, which lead to the formation of new solutions with new ...the genetic operations of crossover (crossing), inversion and mutation, ...
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Modified Genetic Algorithm Framework for Optimal Scheduling of Single Microgrid Combination with Distribution System Operator
... evolutionary algorithm is developed based on the modified genetic algorithm known as the adapted genetic algorithm based on the multicellular organism mechanism (GAMOM) ...
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Development and Application of a Modified Genetic Algorithm for Estimating Parameters in GMA Models
... In a previous work [20] a combination of qualitative biological knowledge and experimental data was used to establish the structure of a mathematical, power law model, of the amplification and responsiveness of the ...
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A Modified Genetic Algorithm for Resource Constrained Project Scheduling
... the algorithm while exploring the search space is what distinguishes GA as an efficient ...are modified to form a new population (off springs) with different ...the algorithm depends on population ...
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Modified Genetic Algorithm to get near Optimal solution for Class Time Table Problem
... The genetic algorithm is one that seeks to find the most optimal solutions where the search space is great and conventional methods are ...using genetic operators. Basic genetic ...
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Title: Scheduling of Independent Tasks in Cloud Computing Using Modified Genetic Algorithm (FUZZY LOGIC)
... like genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO) and particle swarm optimization (PSO)[4], out of which genetic algorithm (GA) has been proved quite ...
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Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems
... as Genetic Algorithms (GA) [1], Tabu Search [2], Simulated Annealing (SA) [3], Particle Swarm Optimization (PSO) [4], and other approaches including Fuzzy Logic [5] have gained a lot of attention from researchers ...
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Optimization of Array Factor in Linear Arrays Using Modified Genetic Algorithm
... using modified continuous genetic algorithms in this ...using modified GA versions are compared with other ...continuous modified GA versions and the results are presented as several ...
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Layout Optimization of Double-Layer Grids Using Modified Genetic Algorithm Based on Fuzzy Inference System
... In this study, in order to achieve the ecient results for optimization of truss structures, genetic algorithm has been improved. First, the design space has been eciently searched in the neighborhood of ...
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Analysis of a Modified RC4 Algorithm
... RC4 algorithm in order to check how it responds towards the secrecy of the cipher generated as well as the overall performance of the ...the modified algorithm over the original one! The variation of ...
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Modified Clipped LMS Algorithm
... This means that some of the time-consuming operations in the weight update formula (7) can be omitted, thereby leading to a reduction of the computational load on the pro- cessor. Whether this potential can be realised ...
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A new modified algorithm of NLMS
... LMS algorithm, and then study the normalized LMS ...LMS algorithm, a new iterative formula is derived and modified NLMS algorithm, which can overcome the shortcoming of the input signal ...
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