Comparison of evolutionary operators and strategies: experimental
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences
... ME strategies are very different from the other methods in that they se- lect tokens that belong to significantly longer sentences on ...other strategies do exhibit different behaviors that intu- itively ...
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Performance comparison of heating control strategies combining simulation and experimental results
... PMV avg -0.05 -0.06 -0.02 The results show a very good agreement between simulation and experiments for the controllers that were actually implemented in the test cell. The energy consumption is reproduced within 2.6% in ...
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Experimental Comparison of Antenna Clustering Strategies in MIMO Distributed Antenna Systems
... [email protected] Abstract—In this paper the effect of partitioning arrays of transmitting antennas into spatially separated clusters on the condition number and capacity of MIMO wireless systems is examined using ...
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An Experimental Evaluation and Comparison of Four Daylighting Strategies for Schools in North Carolina
... To see the overall performance of the daylighting system at Northern Guilford and to compare the two light shelf positions, the hourly light levels from east to west across the middle [r] ...
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An Experimental Comparison of Coded Modulation Strategies for 100 Gbit/s Transceivers
... Unlike uncoded performance metrics, an information- theoretic analysis based on mutual information and general- ized mutual information was shown to allow fair comparisons between different coded modulation ...
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A Comparison of Retrieval Strategies Between High Performers and Low Performers of an Experimental IR System
... It must also be noted that the experimental interface used for this study was not designed to support all user behaviors in information seeking. The most notable tactic unavailable to users is the use of Boolean ...
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Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis
... ment strategies might reveal more differences between the adoption of the two different Reward ...a comparison with a version the algorithm selecting one crossover operator randomly during each genera- ...
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Engineering dioxygenases by laboratory evolution: a comparison of evolutionary search strategies
... sequences to assemble new, functional sequences. The assumption for laboratory evolution is that some measurable fraction of these novel, shuffled genes will express proteins with specific desirable traits. It is ...
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Comparing Evolutionary Operators, Search Spaces, and Evolutionary Algorithms in the Construction of Facial Composites
... target comparison was to gauge how well the composites matched the faces held in the minds of the participants; in reality witnesses would not have an image of the perpetrator to compare their composites ...target ...
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An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem
... On inspection of the initial population of solutions, it is appar- ent that the average running time of near zero refers to all the instances where the initial solutions have full assignment of flights to BSSs. So the ...
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A hyper heuristic approach to automated generation of mutation operators for evolutionary programming
... each function class, 10 functions are taken for training, 5 of which are used to calculate the fitness, and 5 of which are used to monitor overfitting. 4.2. The Testing Phase When the training phase of EP is complete for ...
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On replacement strategies in steady state evolutionary algorithms
... replacement strategies which guarantee takeover of the fittest individual in a selection-replacement only ...and comparison of the val- ues of various indicators for the replacement ...different ...
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Determining Successful Negotiation Strategies: An Evolutionary Approach
... 4. Mutation Process. Mutation is the other technique for creating individuals in new generations. It works by ran- domly selecting some of the genes present in the population in order to mutate. If a mutation occurs, a ...
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SYNTHESIS OF ANALOG FILTER USING EVOLUTIONARY STRATEGIES
... 20 2.2 Population Based Metaheuristics Population based metaheuristic can be deemed to be collection of swarm-like latent solutions generated by sampling objective function at multiple random initial points, which ...
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Eco-evolutionary feedbacks during experimental range expansions
... in comparison with individuals from the range margin, given the same amount of ...these experimental findings, we report theoretical evidence from a newly developed evolutionary model of a population ...
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Maximax&Maximin and 2FBlockwise Operators: Enhancement in the Evolutionary Algorithm for a Nurse Scheduling Problem
... Furthermore, manual nurse scheduling strategies are prone to mistakes by the head nurse in charge who often overlook details about individual nurses [7]. These mistakes may affect the head nurse in making an ...
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Evolutionary Timetabling Using Biased Genetic Operators
... the evolutionary al- gorithm is improved with the usage of biased genetic operators, which take into consideration information regarding violation of the penalties, calculated at the evaluation ...In ...
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Evolutionary Variational Inequalities with Volterra Type Operators
... Received August 15, 2019; Revised September 19, 2019; Accepted September 27, 2019 Copyright c 2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the ...
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A STUDY ON GENETIC OPERATORS IN EVOLUTIONARY COMPUTING- BIRD'S EYE VIEW
... of evolutionary concepts to solve computational problems lies in the fact that search space, while using soft computing techniques for a problem will gets minimized, and the probability of getting an optimal ...
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Population growth : a comparison of evolutionary views
... - 12 - have steadily receded. The usual illustration of this is the change in official attitudes to population growth between the UN World Population Conference in Bucharest in 1974 and those of ten and twenty years ...
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