P ARAMETERS USED FOR THE INDIRECT GENETIC ALGORITHM
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
... 2 The Problem The rostering problem tackled in this paper can be described as follows. The task is to create weekly schedules for wards of up to 30 nurses by assigning one of a number of possible shift patterns to each ...
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'An Indirect Genetic Algorithm for Set Covering Problems'
... undesirable areas. However, by doing so we do run the risk of excluding good and possibly the optimal solution from the search. We will give an example of such a case in the next section and we will show how this ...
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An Indirect Genetic Algorithm for a Nurse Scheduling Problem
... 2 The Problem The rostering problem tackled in this paper can be described as follows. The task is to create weekly schedules for wards of up to 30 nurses by assigning one of a number of possible shift patterns to each ...
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The efficient selection methods of genetic algorithm used in scheduling problems
... a genetic algorithm (GA) depend on many factors: the selection method is one of ...the genetic algorithm efficiency depends to a high degree upon the selection of the good GA operators and ...
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An Optimized Genetic Algorithm with Classification Approach used for Intrusion Detection
... are used to identify abnormal activities in a computer ...been used in the ...have used the terms detection rates and false alarm rates to compare the results of Naïve Bayes algorithm and ...
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'Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem'
... the indirect nurse scheduling ...based genetic algorithm for other scheduling and similar ...principles used in this decoder are widely applicable: Schedule one candidate at a time, measure ...
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PSO, Genetic Optimization and SVM Algorithm used for Lung Cancer Detection
... is used so that the image can be properly ...techniques used depends upon specific application, imaging modality and other factors ...slicing algorithm is the first step to the processing of the ...
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A Genetic Algorithm is Used for Test Suite Generation Aimed for Evolutionary Testing
... is used to produce good solutions in reasonable time by evaluating only a small portion of the input ...applying genetic operators such as selection, crossover, and ...
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Genetic Algorithm Based Multicast Routing Used In Mobile Ad Hoc Networks
... the genetic algorithm to track environmental changes which are relatively small and occur with low frequency without the need to implement an additional technique for tracking changing ...evolutionary ...
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Genetic Algorithm Based Multicast Routing Used In Mobile Ad Hoc Networks
... (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 8, August 2015 communication links connecting 2 neighboring routers falling into the radio transmission vary. A communication link (i, j) can not be used ...
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A genetic algorithm was used in conjunction with the distributed computing network to optimise the parameters of the absorbers
... METHOD Genetic Algorithm A GA is a numerical optimisation method based on the principles of natural selection and ...are used as input parameters to calculate a cost function, such as the acoustic ...
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Detecting cryptic indirect genetic effects
... be used to iden- tify interacting phenotypes causing IGEs on focal male tapping ...were used because the phenotype data for chill coma, survival on menadione sodium bisulfite, survival on paraquat, startle ...
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and Genetic Algorithm
... optimization algorithm, where two phase learning is ...this genetic algorithm. In this work proper fitness function was used where distance of source plant is also consider for loss of power ...
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An improved adaptive genetic algorithm for image segmentation and vision alignment used in microelectronic bonding
... To reduce the premature convergence and improve the convergence rate of SGA, AGAs were presented with the approach of adaptive probabilities of crossover and mutation [31]. However, they can fall into local optimum in ...
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Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review
... In this study, we review the performance of GA and HGA for solving space layout problems. These two approaches become useful when the problem size is varied and ill defined. GA and HGA are proved to be effective for ...
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The Genetic Algorithm in Economics
... be used as a model of social learning, which is how individuals get information from ...be used to model such learning environments, as it simply imitates natural ...
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A Mazer with Genetic Algorithm
... 3. EXPERIMENT SETUP AND RESULT The experiment is conducted JDK 1.6 on Experiment is done with JDK 1.4 on an Intel Core™2 CPU with 2.66 GHZ and 2 GB RAM. The Population size =100, Maximum number of generation = 500, ...
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The Binary Genetic Algorithm
... 2.2.1 Selecting the Variables and the Cost Function A cost function generates an output from a set of input variables (a chromo- some). The cost function may be a mathematical function, an experiment, or a game. The ...
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PARALLEL GENETIC ALGORITHM
... 2.3.1 Related Work Grasso, in his dissertation work simulated the diploid individuals (there were two sub-components for each gene) by dividing the population into five demes. The demes exchanged the individuals at fix ...
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Statistical Genetic Algorithm
... are used in Adaptive Genetic Algorithms is based on statistical information of the ...be used in some different manners: for example we can use them to tune involved probabilities such as crossover ...
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