Search Results - (( variable relative process algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
New selection algorithm for Mengubah Destini Anak Bangsa (MDAB) students / Zamali Tarmudi ... [et al.]
Published 2014“…It focuses on the refinement and modification of certain variables in selection process. The technique employs the intersection of fuzzy goals and constraints concept in judgmental process. …”
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3
Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Unlike the existing optimization algorithm, VL-WIDE features the capability of searching different lengths of solutions to cover the variable number of cloudlets for deployment. …”
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Thesis -
4
Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. …”
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5
Ensemble dual recursive learning algorithms for identifying flow with leakage
Published 2010“…The objective of this paper is to introduce a combination of advantages of different algorithm scheme into one learning algorithm. For this purpose, three models is developed, first using recursive least square algorithm (RLS), second using recursive instrument variable (RIV) algorithm and lastly using combination of this two algorithm. …”
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6
Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
Published 2023“…A new approach for Fuzzification and Defuzzification processes of a high degree of overlapping between the linguistic variables through proportional and relative-dynamic-scale membership functions is presented in this paper. …”
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7
Identification of continuous-time hammerstein model using improved archimedes optimization algorithm
Published 2024“…This proposed algorithm also discerned linear and nonlinear subsystem variables within a continuous-time Hammerstein model utilizing input and output data. …”
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8
An evolutionary based features construction methods for data summarization approach
Published 2015“…In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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9
Fault diagnosis by using multi-scale signed directed graph
Published 2022“…The Signed Directed Graph (SDG) is a qualitative graphical model that has been widely applied in chemical process industries for fault diagnosis. It describes and represents the causal relations between the process variables and their effect relations in systems. …”
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10
Hybrid ACO and SVM algorithm for pattern classification
Published 2013“…This is achieved by performing the SVM parameters’ tuning and feature subset selection processes simultaneously. Hybridization algorithms between ACO and SVM techniques were proposed. …”
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11
Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage
Published 2010“…The objective of this paper is to introduce a combination of advantages of different algorithm scheme into one learning algorithm. For this purpose, three models is developed, first using recursive least square algorithm (RLS), second using recursive instrument variable (RIV) algorithm and lastly using combination of this two algorithms. …”
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12
Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh
Published 2019“…Different ANN algorithms have been used in this study such as feed forward backpropagation algorithm, layer recurrent algorithm, adaptive neuro fuzzy inference system and NARX neural network. …”
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13
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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14
Optimization of Turning Parameters to Minimize Production Cost using Genetic Algorithm
Published 2009“…This paper presents the study to minimize production cost for CNC turning process by using genetic algorithm (GA) method with some modification. …”
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15
Use of AR Block Processing for Estimating the State Variables of Power System
Published 2008“…This problem is solved by introducing signal-processing technique for identifying and changing the measurement weights of the bad measurements if the related measurement is assigned with high weight factors. …”
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16
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…(i) what decision making models and (ii) what computational techniques, provide an optimal manufacturing process planning solution in a multidimensional decision variables space? …”
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17
Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach
Published 2023“…This study lays the groundwork for further investigations aiming to refine athlete screening processes and broaden the utility of DTs in sports-related predictive modeling.…”
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18
A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…Furthermore, the hybrid model provides the ability of identifying the policy variables related to the objective function at any specific time line. …”
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19
An improved electromagnetism-like mechanism algorithm for the optimization of maximum power point tracking / Tan Jian Ding
Published 2017“…The Electromagnetism-Like Mechanism algorithm (EM) is a meta-heuristic algorithm designed to search for global optimum solutions using bounded variables. …”
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20
Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes
Published 2020“…Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. …”
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