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Information Sciences, ISSN 0020-0255, 01/2019, Volume 473, pp. 202 - 226
Journal Article
IEEE Transactions on Magnetics, ISSN 0018-9464, 12/2014, Volume 50, Issue 12, pp. 1 - 6
Backtracking search algorithm (BSA) is a novel evolutionary algorithm (EA) for solving real-valued numerical optimization problems. In this paper, an adaptive... 
Coils | Runtime | Magnetometers | Magnetic cores | Sociology | Statistics | Optimization | Backtracking search algorithm (BSA) | Evolutionary computation | evolutionary computation | magnetometers | PHYSICS, APPLIED | optimization | ENGINEERING, ELECTRICAL & ELECTRONIC | Magnetometer | Usage | Numerical analysis | Evolutionary algorithms | Mathematical optimization | Innovations
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2017, Volume 266, pp. 579 - 594
A backtracking search optimisation algorithm that uses historic population information for learning was proposed recently for solving optimisation problems.... 
Modified backtracking search optimisation (MBSA) | Artificial neural network (ANN) | Backtracking search optimisation (BSA) | Chaotic time series prediction | PARTICLE SWARM | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Mathematical optimization | Algorithms
Journal Article
Data in Brief, ISSN 2352-3409, 02/2020, Volume 28, p. 105046
In this data article, we present the data used to evaluate the statistical success of the backtracking search optimisation algorithm (BSA) in comparison with... 
BSA experimental data | BSA performance evaluation | Statistical analysis | Backtracking search optimisation algorithm
Journal Article
Applied Soft Computing, ISSN 1568-4946, 03/2016, Volume 40, pp. 479 - 494
Journal Article
Decision Science Letters, ISSN 1929-5804, 04/2019, Volume 8, Issue 2, pp. 163 - 174
Stochastic optimization algorithm provides a robust and efficient approach for solving complex real world problems. Backtracking Search Optimization Algorithm... 
Quadratic approximation (QA) | Backtracking Search Optimization Algorithm (BSA) | Hybrid Algorithm | Unconstrained non-linear function optimization
Journal Article
Arabian Journal for Science and Engineering, ISSN 2193-567X, 02/2018, Volume 43, Issue 2, pp. 993 - 1014
As a young intelligence optimization algorithm, backtracking search optimization algorithm (BSA) has been used to solve many optimization problems... 
Hybrid | Teaching–learning-based optimization (TLBO) | Backtracking search optimization algorithm (BSA) | Differential mutation | Hierarchical structure | MULTIDISCIPLINARY SCIENCES | Teaching-learning-based optimization (TLBO) | DIFFERENTIAL EVOLUTION
Journal Article
Neurocomputing, ISSN 0925-2312, 10/2015, Volume 166, pp. 397 - 403
Journal Article
International Journal of Industrial Engineering Computations, ISSN 1923-2926, 03/2016, Volume 7, Issue 2, pp. 323 - 338
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 10103, pp. 75 - 86
Conference Proceeding
International Journal of Advanced Intelligence Paradigms, ISSN 1755-0386, 2016, Volume 8, Issue 3, pp. 355 - 364
Backtracking search optimisation (BSA) algorithm is a new-fangled methodology which takes into account the previous experiences to guide the process to reach... 
Differential evolution | BSA | Backtracking search optimisation | Transmission loss | Optimal reactive power | Reactive power | Algorithms | Buses (vehicles) | Intelligence | Searching | Evolutionary algorithms | Optimization | Convergence
Journal Article
International Journal of Electrical Power and Energy Systems, ISSN 0142-0615, 10/2016, Volume 81, pp. 64 - 77
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 05/2019, Volume 81, pp. 117 - 132
Journal Article
2019, ISBN 3038975486
This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water 
artificial neural network | flood routing | the Three Gorges Dam | backtracking search optimization algorithm (BSA) | lag analysis | artificial intelligence | classification and regression trees (CART) | decision tree | real-time | optimization | ensemble empirical mode decomposition (EEMD) | improved bat algorithm | convolutional neural networks | ANFIS | method of tracking energy differences (MTED) | adaptive neuro-fuzzy inference system (ANFIS) | recurrent nonlinear autoregressive with exogenous inputs (RNARX) | disasters | runoff | natural hazards | flood prediction | ANN-based models | flood inundation map | ensemble machine learning | flood forecast | sensitivity | hydrologic models | phase space reconstruction | water level forecast | data forward prediction | early flood warning systems | bees algorithm | random forest | uncertainty | soft computing | data science | hydrometeorology | LSTM | rating curve method | forecasting | superpixel | particle swarm optimization | high-resolution remote-sensing images | machine learning | support vector machine | Lower Yellow River | extreme event management | runoff series | empirical wavelet transform | Muskingum model | hydrograph predictions | bat algorithm | data scarce basins | Wilson flood | self-organizing map | big data | extreme learning machine (ELM) | hydroinformatics | nonlinear Muskingum model | invasive weed optimization | flood forecasting | artificial neural networks | flash-flood | hybrid | streamflow predictions | precipitation-runoff | the upper Yangtze River | survey | parameters | Haraz watershed | ANN | time series prediction | postprocessing | flood susceptibility modeling | rainfall-runoff | Venant equations | deep learning | database | LSTM network | ensemble technique | hybrid neural network | self-organizing map (SOM) | data assimilation | particle filter algorithm | rainfall | monthly streamflow forecasting | Dongting Lake | machine learning methods | micro-model | stopping criteria | Google Maps | cultural algorithm | wolf pack algorithm | flood events | urban water bodies | Karahan flood | hydrologic model
eBook