genetic-algorithm-based optimisation method
Genetic Algorithm Optimisation for Finance and Investments
... a genetic algorithm is a robust or effective method for opti- misation of complex problems characterised by multiple optima, nondifferen- tiability, and other irregular ...other optimisation ...
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Model-based controller design for a plastic film extrusion process
... multi-objective optimisation problems are construction of a single aggregate objective function (AOF) and utilisation of an evolutionary ...the genetic algorithm, which is a type of an evolutionary ...
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Genetic algorithm based optimisation of FRP composite plates in ship structures
... economic optimisation procedures in preliminary design in which the “unconstrained minimisation” method of Nelder and Mead (1965) was ...often based on more than one objective was applied by Sen ...
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A Method for System Order Reduction based on Genetic Algorithm and FFT
... In 1966, Davison suggested a state space based method for order reduction[1]. In 1967 and 1969, some modifications was suggested for Davison approach[2,3].In 1968, frequency domain expansions were used[4]. ...
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Fault detection and diagnosis of a plastic film extrusion process
... is based on the parity relations and thus requires solving a multi-objective optimisation ...A genetic algorithm, which is an evolutionary algorithm, has been utilised for solving this ...
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Genetic algorithm based design optimisation for permanent magnet synchronous motors
... a method in which the objective function was rescaled to less than one if it is feasible, and greater than one if it is not feasible, hence in the ranking and fitness assignment a feasible solution is allocated a ...
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Superior Technique to Cluster Large Objects
... primary method for database ...(OPTICS) algorithm. The various Optimisation techniques like ACO, PSO and Genetic Algorithm are applied to the algorithm to find the best that has ...
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Penguins Search Optimisation Algorithm for Association Rules Mining
... the genetic operators, which means that the se- lection, the mutation, and the crossover are cho- sen automatically by the problem at a particular stage of ...improving genetic algorithm for ...
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Fault detection and diagnosis of a plastic film extrusion process
... is based on the parity relations and thus requires solving a multi-objective optimisation ...A genetic algorithm, which is an evolutionary algorithm, has been utilised for solving this ...
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Multiobjective Optimisation Strategy for Seismic Response Control of Buildings using Genetic Algorithm
... optimized based on controllability ...the method is that a device/controller is optimally placed when it is located at a position where the relative controllability index defined in terms of weighed modal ...
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Fuzzy neural networks with genetic algorithm-based learning method
... This method has been rejected from a theoretical point of view (Liu, et ...approach based on the derivation of the min-max function has been proposed (Zhang, et ...propagation algorithm, which is a ...
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Optimisation of Gear Assemblies
... Any placement of gears and different links be tween them is allowed. Links may be defined sepa rately for every operating mode. It is possible to ex plicitly define all angular velocities, speed ratia, cen tre ...
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Exploration of Anomaly Based Intrusion Detection System: A Security Framework
... anomaly based and signature based ...anomaly based Intrusion Detection ...anomaly based intrusion detection system are apache storm, neural network, artificial immune system, genetic ...
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Bim and genetic algorithm optimisation for sustainable building envelope design
... design optimisation in the early stages of ...and Genetic Algorithm (GA) to support DM and optimisation for sustainable building envelope ...BIM-GA optimisation method, Autodesk ...
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Playfair extended using Genetic Operators
... encryption method, where genetic algorithm based secret key image encryption using genetic operator is discussed ...of Genetic Algorithm in which, the operations of ...
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A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm
... results based on the computational time, classification accu- racy, sensitivity, F-measure and precision demonstrate that, the GA-DCA performs better on optimisation of the DCA for most datasets compared to ...
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Addressing practical challenges of Bayesian optimisation
... Bayesian optimisation as an efficient method for optimising expensive black-box functions, often found in real world ap- ...Bayesian optimisation and current advancement in Bayesian ...
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Heuristics for Mixed Model Assembly Line Balancing Problem with Sequencing
... sequencing algorithm for mixed-model assembly lines in just-in- time production systems with the objective of maintaining near-constant production rate for every model in the ...their algorithm performs ...
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Fault Diagnosis of Motor Bearing Based on the Bayesian Network
... methods based on genetic algorithm and neural network, while Bayesian network has a good learning, inference and ...diagnosis method is ...
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Text Document Classification using Ant Colony Optimization and Genetic Algorithm
... (ACO) based method have involved a lot of ...encouraging algorithm in data classification and clustering ...optimization algorithm constructed on behavior of ants was introduced in the early ...
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