Genetic algorithm
Exploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methods
... Advances in theoretical and computational condensed matter physics have opened the possibility to predict and design magnetic materials for specific technological applications. In this paper, we use the ...
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A Genetic Algorithm for VNF Provisioning in NFV Enabled Cloud/MEC RAN Architectures
... In contrast with those previous works, in this paper we propose a genetic algorithm for VNF-Provisioning in order to minimize both the service blocking ratio and the CPU usage in a 5G access network. We ...
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Addressing the 5G cell switch-off problem with a multi-objective cellular genetic algorithm
... The Multi-Objective Cellular Genetic Algorithm, MOCell, is a cellular genetic algorithm (cGA) [10]. Like many multi- objective metaheuristics, it includes an external archive to store the ...
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TítuloHigh performance genetic algorithm for land use planning
... As future work, one of the most immediate improvements is to study other functions to evaluate compactness criteria. In particular, patches of the same category are usually separated by roads or water bodies, which ...
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A hybrid genetic algorithm for route optimization in the bale collecting problem
... hybrid genetic algorithm (HGA) approach to address the BCP pursuing resource optimization such as minimizing non-productive time, fuel consumption, or distance ...
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A simple genetic algorithm for a minimal overlapping scheduling problem
... simple genetic algorithm applied to the SPTWMO, reporting efficient numerical results according to lower bounds obtained solving the preemptive version of the ...
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PSS AND IPFC POD controllers coordinated tuning by an Adaptive Genetic Algorithm with Hyper-mutation
... Adaptive Genetic Algorithm and Hyper-mutation (AGAH) to design simultaneously controller ...Adaptive Genetic Algorithm aims to find optimal controller parameters to enhance greatly stability ...
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Unsupervised Genetic Algorithm Deployed for Intrusion Detection
... on genetic algorithm for intrusion ...accurate. Genetic algorithms are robust and able to avoid getting stuck in local optima, unlike the rest of clustering ...
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Assessing different rule quality measures in a genetic algorithm for discovering association rules
... The article is divided into seven sections. Section II basic concepts of asso- ciation rules. Section III presents a description of genetic algorithms. Section IV presents the description of one of the related ...
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Optimizing the Minimum Vertex Guard Set on Simple Polygons via a Genetic Algorithm
... approximation algorithm based on general metaheuristic genetic algorithms to solve the MVG problem on simple polygons (arbitrary and ...our algorithm, as in ...
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Synthesis of optimal digital shapers with arbitrary noise using a genetic algorithm
... Regadío, A., Sánchez-Prieto, S., Tabero, J. & González-Castaño, D. M. 2015, "Synthesis of optimal digital shapers with arbitrary noise using a genetic algorithm”, Nuclear Instruments and Methods in ...
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Optimization of the Savonius wind Turbine Using a Genetic Algorithm-Edición Única
... There are more software options in order to integrate optimization processes. Among those, modeFRONTIER is another MDO software with a simpler and robust user interface. This software includes modules to synchronize ...
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TítuloUse of a genetic algorithm to optimize wheel profile geometry
... the genetic algorithm have been established so as to guarantee that the final wheel profile is suitable for operation along railway and light rail tracks (see section ...
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An importance driven genetic algorithm for the halftoning process
... particular, Genetic Algorithms (GAs) have vigorously been developed and analyzed since Holland’s and Goldberg’s contributions, and employed in different kind of applications domains[5, 7] like signal ...
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Robot arm fuzzy control by a neuro-genetic algorithm
... The SANE (Symbiotic Adaptive Neuro Evolution) algorithm was pro- posed by Miikkulainen and Moriarty [1] [2]. The novel approach of SANE, is that it encodes one unit of a neural network as one string (chromosome). ...
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Optimization of the savonius wind turbine using a genetic algorithm
... Sorting Genetic Algorithm (NSGA II): According to Engineous Software (2003), in this algorithm each objective parameter is treated ...Standard genetic operation of mutation and crossover are ...
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Advances in Hybrid Evolutionary Computation for Continuous Optimization
... (BSC) Algorithm introduced in [Sys93], each possible value of every variable is assigned a probability pro- portional to the fitness value of those individuals taking that value in the current ...this ...
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A runnable functional formal memetic algorithm framework
... Vestin's master thesis 24] presents a genetic algorithm in Haskell 20] that uses poly- typic programming 10] and Haskell's class system 13]. Due to the use of polytypism, the program is easily extended to ...
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Comparación de algoritmos evolutivos para la optimización en la clasificación de la obesidad en escolares
... with Genetic Algorithms (ILGA) and Decision Tree with Genetic Algorithm (DT-GA) to determine the percent improvement during each iteration of each of the algorithms on a database related to school ...
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Analysis and optimization of composite stringers
... problem. Genetic algo- rithms have been presented as a family of methods which can handle most of engineering ...common Genetic Algorithms: Archive-based Micro Genetic Algorithm (AMGA), ...
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