Genetic Algorithms
Top PDF Genetic Algorithms:
Modeling, simulation and application of bacterial transduction in genetic algorithms
... In a previous paper, [Kubota et al., 1996] introduced VEGA, addressing the possibility of simulating transduction, a virus-evolutionary genetic algorithm. Their authors introduced a virus infection operator and a ...
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TítuloA genetic algorithms based approach for optimizing similarity aggregation in ontology matching
... Ontology matching consists of finding the semantic relations between different ontologies and is widely recognized as an essential process to achieve an adequate interoperability between people, systems or organizations ...
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TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification
... Today, there are other prediction-selection techniques that allow making up for the shortcomings caused by the use of ANNs. This paper is aimed at emphasizing a method recently developed within the field of machine ...
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Self-adaptation of parameters for MCPC in genetic algorithms
... Self-adaptation of parameters is a central feature of evolutionary strategies, another class of evolutionary algorithms, which simultaneously apply evolutionary principles on the search space of object variables ...
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A new strategy for adapting the mutation probability in genetic algorithms
... in Genetic Algorithms, the mutation probability parameter maintains a constant value during the ...traditional genetic algorithms with fixed parameter values in a numerical ...a genetic ...
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Running Genetic Algorithms in the Edge: A First Analysis
... Considering this, our main aim is to design a ubiquitous intelligent system (Fig. 1) for solving complex problems of smart cities using a highly decentralized computing model. However, this system will be composed of a ...
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Genetic algorithms for topical web search: A study of different mutation rates
... Harvesting topical content is a process that can be done by formulating topic-relevant queries and submitting them to a search engine. The quality of the material collected through this process is highly dependant on the ...
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Alternative strategies for asynchronous migration-controlled schemes in parallel genetic algorithms
... A particular subclass of the Levine’s [7] taxonomy of parallel genetic algorithms are the Coarse Grained Parallel Genetic Algorithm (CGPGA). Here, the entire population is compounded of a number of ...
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Contrasting main selection methods in genetic algorithms
... As pointed by Michalewicz [14], even though ranking methods have shown, in some cases, to effectively improve genetic algorithms behaviour some apparent drawbacks remain. They can be summarized as follows: ...
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A study of alternative selection mechanisms for multiple cossover per couple in genetic algorithms
... Multiple crossover per couple (MCPC) is a newly introduced crossover method which in contrast with the single crossover per couple approach (SCPC), permits more than one crossover operation for each mating pair. MCPC was ...
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Applying genetic algorithms to convoy scheduling
... Abstract. We present the results of our work on applying genetic algorithms combined with a discrete event simulation to the problem of convoy scheduling. We show that this approach can automatically remove ...
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DESIGN AND OPTIMIZATION OF SOUND DIFFUSERS USING RBF-BASED SHAPES AND GENETIC ALGORITHMS
... rather than as a result of optimizing their performance. In recent years, significant efforts have been made to find other kind of surfaces with good properties in scattering the sound. The main objective of this work is ...
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Multiple crossover per couple and fitness proportional couple selection in genetic algorithms
... The paper discusses a hybrid approach; combining MCPC and FPCS methods for crossover and selection. The rational behind this approach relies in the attempt to diminish the selective pressure introduced by MCPC, seeking ...
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Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms
... Abstract. Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological im- ages could predict this disease. In this way, computational image process- ing ...
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Run-time Adaptation of Mobile Applications using Genetic Algorithms
... while the CMS provides the DRS with context information. In this section we mainly focus on the plan stage of the MAPE-K loop (Plan Generator), which is part of the DRS and uses the AFM, the context information and the ...
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TítuloPredicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
... This article applies the same logic to an urban system to test whether the genetic algorithms might be successful in predicting the evolution of a city over time. Many authors have already proposed links ...
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Hybrid algorithms for solving routing problems
... In any case, other well-known metaheuristics could have been used to em- bed CP and LR, such as Tabu Search (TS) or Genetic Algorithms (GA). Both metaheuristics have been widely used for tackling different ...
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Analysis and optimization of composite stringers
... Stringer run-outs are a common solution to achieve the necessary strength, stiffness and geometric requirements of some structural solutions. The mechanical behaviour and complexity of such design details requires ...
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... The substantial growth of human populations – especially as half of humanity already lives in urban areas – and the consequent expansion of agricultural and industrial activities with a high water demand, have only ...
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Controller optimization for a solar tracking system using differential evolution
... optimization algorithms are based on behavior observed in nature. These algorithms, referred to as bio-inspired, have been proposed as an alternative to traditional optimization ...
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