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Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm
Published 2020“…It would be a promising approach to combine the advantages of simulation with optimization algorithm.…”
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The efficient combination of simulated annealing algorithm with the best heuristic algorithms gave much better result in a very minimal time. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…The combined influence of the genetic algorithm and correlation analysis are used in this technique. …”
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Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar
Published 2016“…The proposed method in solving economic dispatch problem combines the evolutionary algorithm with analytical approach is capable in performing much better in directing the search towards the optimal region. …”
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Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China...
Published 2025“…This novel simulation approach combines a window state prediction algorithm and CFD simulation technology. …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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9
Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
Published 2019“…Through the combination of backtracking search algorithm (BSA) in learning process of ANFIS approach, a hybrid machine learning algorithm has been developed to forecast the electricity price more accurately. …”
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SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM
Published 2019“…The main objective of this study is to propose a two-staged heuristic solution for Primary School Timetabling whereby the algorithm should enable combination of classes from different classes of students and reduce the number of subjects to be taught in a day and develop a simulation model for Primary School Timetabling Problem. …”
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Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Purpose – The purpose of the research is to solve Travelling Salesman Problem (TSP) using Simulated Kalman Filter (SKF) algorithm and single-solution SKF (ssSKF) algorithm based on numerical ordering technique. …”
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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023“…The Cognitive Map method is combined with genetic algorithm to derive the mobile robot optimal moving path towards its goal functions. …”
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Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
Published 2016“…In order to solve discrete optimization problems, the SKF algorithm is combined with an angle modulated approach. …”
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A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering
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Collaborative adaptive filtering approach for the identification of complex-valued improper signals
Published 2019“…This paper proposes a novel hybrid filter for data-adaptive optimal identification and modeling of complex-valued real-world signals based on the convex combination approach. It is equipped with different complex domain characteristics of subfilter algorithm. …”
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A Novel Algorithm for Automated Model Generation of Analog Circuits Using Chebyshev-Newton Interpolation
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Time Series method has always been used in a variety of forecasting applications. In this thesis, an approach that combines the Box-Jenkins methodology for SARIMA model and Genetic Algorithm (GA) will been introduced as a new approach in making a forecast. …”
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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
Published 2018“…The performance of the algorithm is tested by using simulated data. The test results show that the algorithm can estimate the order and coefficients of the autoregressive model very well. …”
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Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…A comprehensive method of analysis combining experimental and simulation approaches in order to predict the fatigue life of structural members were carried out in this research. …”
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