fitness values
Hybrid Particle Swarm Optimization and k Means Clustering for Education Quality Mapping
... 8: Fitness values with PSO and PSO+K-Means Figure 9 below describes the purity values in a data ...purity values that are not ...smallest fitness value value is ...
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Implicit and Explicit Averaging Strategies for Simulation-Based Optimization of a Real-World Production Planning Problem
... the fitness values (as returned by the DES simulation) may impact on optimization performance, and we explore explicit and implicit averaging strategies to address this ...refine fitness estimates ...
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Water Tank Fish Algorithm: A New Metaheuristic for Optimization
... its fitness value by evaluating f(x) at its current height. Fitness value for each fish is calculated and the minimum and the maxi- mum fitness values for each iteration are found ...own ...
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Rugged NK landscapes contain the highest peaks
... where fitness contri- butions are uniformly distributed on [0, ...of fitness values is interpreted using the central limit ...of values in the landscape, is inves- ...
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An Enriched Adaptive Genetic Algorithm for Solving Reactive Power Problem
... normalized fitness between the current individual and other individuals in the population to the control probability of ...the fitness values of the ...
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Applying an adaptive generative representation to the investigation of affordances in puzzles
... best fitness values across instances is due to the way the values for move extending tokens are generated, which essentially imposes an upper bound on the achievable score for a given instance: 3S ...
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Demography and cultural innovation: A model and its implications for the emergence of modern human culture
... the values of its at- tributes are reproduced with a certain probability of innovation taking ...population fitness decreases, but eventually station- arity is reached for a given combination of param- ...
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Fuzzy Based Assignment Method of Filtering Nodes in Wireless Sensor Networks
... the fitness value of each node on the path between the sink node and the CH as a filtering node for the session; 1) the node’s energy, 2) the size of message authentication codes (MACs) and 3) the false traffic ...
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Improving production systems of timber-processing plants IV: Application of genetic algorithms for appropriate positioning of processing machines
... Strings with higher fitness values were ranked in the upper portion of the population and had a higher probability of contributing one or more offspring to the [r] ...
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Improved Artificial Bee Colony Algorithm for Continuous Optimization Problems
... The employed bees of ABC algorithm exploit nectar sources and move position information about the nectar sources to the hive and share the position information with onlooker bees by dancing in the dance area of the hive. ...
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A Hybrid Optimized Algorithm Based on Ego and Taguchi's Method for Solving Expensive Evaluation Problems of Antenna Design
... It can be seen that all of the three algorithms obtain good fitness values. However, the numbers of calculating fitness function of the hybrid optimized algorithm is only 87 which is about 10.98 ...
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Amplification on Undirected Population Structures: Comets Beat Stars
... of fitness values of the mutants, the Comet and Comet- swarm graphs have fixation probability strictly larger than the fixation probability of the Star graph, for fixed population size and at the limit of ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... have fitness values, which are assessed by the fitness ...“best” values. The first is the best solution (fitness) it has achieved so ...best values, each particle updates its ...
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HETEROZYGOSITY IN PIN-THRUM PLANTS OR WITH PARTIAL SEX LINKAGE
... It is shown that if the recombination value is sufficiently small then the equilibrium point, which is determined by the fitness values at the heterotic locus and the ass[r] ...
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EQUILIBRIA UNDER INBREEDING AND SELECTION
... The equilibrium values of these indices are given by a simple expression involving the amount of selfing and the mean fitness, while the equilibrium allelic freque[r] ...
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Evolution of mechanoregulation of bone growth will lead to non optimal bone phenotypes
... By combining equations describing long bone growth with a genetic algorithm to describe evolutionary change, we created a computational model to simulate the evolution of mechanoregulation in bone growth. A population of ...
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Preliminary modeling of the time variation of the monthly means of some climatic parameters in some localities of chad
... the values of the degree of fitness of the formulas were at most one order less the empirical and theoretical values of the relative humidity of the air and consequently, the models are declared ...
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A Comparison among Conductometric, Two-abrupt-change Potentiometric and Linear Potentiometric Titrations on Determining DD of Chitosan.
... Based on the analysis above, the introduction of chitosan mass fraction seems to have no impact on the measurement of deacetylation degrees. On one hand, the impact from the absorbance of moisture during the time in ...
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A Hybrid Image Contrast Enhancement Approach Using Genetic Algorithm and Neural Network
... A unique algorithm for Contrast Enhancement has been proposed. It overcomes the major shortcoming of under enhancement and enhances the image to correct extent. Experimental results show that it works better than the ...
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Improving the Test Quality of Safety Critical Software by using Combined KPSO Mutation Method
... Mutation Testing adopts “fault simulation mode”. It has been advocated as a technique for generating test cases by inserting faults in a program and the effectiveness of test suite is represented by ‘mutation score’. ...
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