Optimization algorithms
A Hybridized Artificial Neural Network and Optimization Algorithms for the Diagnosis Of Cardiac Arrhythmias
... the Optimization Algorithms are used. The optimization algorithms used in this study are Particle Swarm Optimization Algorithm and Genetic Algorithm, that have been used for ...
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Lat. Am. j. solids struct. vol.8 número4
... istic optimization algorithms, GAs work with the objective function based on simple values of ...terministic optimization methods, which perform the search focusing on a single solution at a time, ...
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OPTool - Documentation v1.2
... giving the additional experimentName that will be used to save the result- ing plots and variables in the folder Stored Outputs. This function accepts any algorithm both from the linear equation and the ...
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Rev. Bras. Geof. vol.23 número3
... the optimization problem in the CRS method consists in the determination, from the seismic data, of the three optimal parameters (β 0 , R N I P , R N ) associated to each sample point of ZO section to be ...global ...
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Presentation about Desynchronization in Distributed MAC
... Find convergence rates for the optimization algorithms; Can we improve the speed by, instead, solving the linear equation;.. ∇g(φ ? ) = 0 (1).[r] ...
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Non-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System Design
... simultaneous optimization of several conflicting and competing ...evolutionary optimization algorithms called non-dominated sorting genetic algorithm (NSGA), which will suit to the requirements of ...
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Multi-objective optimization with Kriging surrogates using “moko”, an open source package
... Kriging Optimization), is written in R language and presents three multi-objective optimization algorithms: (i) MEGO, in which the efficient global optimization algorithm (EGO) is applied to a ...
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Plan Based Automated Generation of Redesign Suggestion
... an optimization perspective and the model contains all the possible combination of operations to manufacture the ...part. Optimization algorithms such as Genetic algorithm (GA)/Simulate annealing ...
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Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems
... Colony Optimization algorithms, MONACO mimics the ant’s for- aging behaviour supported by a communication process, which relies on a chemical pheromone trail, signalling a good path to some supply ...
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OPTool - Documentation
... erative optimization algorithms for differentiable cost functions along with algorithms to solve linear ...solve optimization problems, although the code was written to researchers that want ...
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Phase-Only Planar Antenna Array Synthesis with Fuzzy Genetic Algorithms
... nonlinear optimization algorithms. The genetic algorithms (GAs) have been widely used in electromagnetic problems optimization, and particularly for the synthesis of antenna ...traditional ...
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A MODEL FOR PRELIMINARY DESIGN OF STEEL CATENARY RISERS USING BIO-INSPIRED ALGORITHMS
... as optimization algorithms, that can speed up the process of elaborating a feasible riser design for certain ...programming algorithms becomes ...metaheuristic algorithms, such as Genetic ...
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Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless Multicast
... two algorithms namely FFD bin packing algorithm and LL algorithm were proposed to find the near optimal values of destination ...these algorithms were analyzed and compared based on several ...
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Artificial intelligence in seeding density optimization and yield simulation for oat
... and optimization of important processes in ...genetic algorithms, respectively, in the simulation of oat grain yield and optimization of seeding density, considering the main succession systems of ...
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Pesqui. Oper. vol.29 número1
... multiobjective optimization approach is applied since increasing the number of redundancies not only enlarges system reliability but also its associated ...
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Application of Genetic Algorithms to The Optimal Design of Vehicle's Driver-Seat Suspension Model
... Genetic algorithms are typically implemented as a computer simulation in which a population of abstract representations (called chromosomes) of candidate solutions to an optimization problem (called ...
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Vector discrete problems: parametrization of an optimality principle and conditions of solvability in the class of algorithms involving linear convolution of criteria
... On the unsolvability of vector discrete optimization problems on systems of subsets in the class of algorithms involving linear convolution of criteria, Russian Acad. Investigation of li[r] ...
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3D flight route optimization for air-taxis in urban areas with evolutionary algorithms
... the optimization possibly converged to a local optimum instead of the global optimum ...the optimization. The proposed optimization method NSGA II uses a kind of elitism, which is one cause of lower ...
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Comparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power Systems
... an optimization approach, based on the Genetic Algorithms (GA) method is proposed for the design of UPFC controllers (power-flow controller, DC-voltage regulator and generator terminals voltage controller) ...
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