State estimation of nonlinear dynamic systems using weighted variance-based adaptive particle swarm optimization
A new heuristic filter of adaptive particle swarm optimization (APSO) is developed.The swarm size is adaptively tuned based on the weighted variance of the particles.The proposed APSO is compared with a variety of heuristic optimization ...
Efficient DE-based symbiotic cultural algorithm for neuro-fuzzy system design
These should been changed into A differential-evolution-based symbiotic cultural algorithm to neuro-fuzzy systems.Using symbiotic evolution to decompose a fuzzy system into multiple subpopulations.Randomly selects fuzzy rules from subpopulations that ...
A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles
Graphical abstractDisplay Omitted HighlightsThe subjects covered in the article, such as evolutionary computing, unmanned aerial vehicles, and their control forms attract a lot of interest nowadays.A extensive literature review presents several ...
Differential evolution aided adaptive resource allocation in OFDMA systems with proportional rate constraints
Graphical abstractDisplay Omitted HighlightsWe propose use of CMODE for resource allocation in OFDMA systems.We use CMODE for both joint as well as separate subcarrier and power allocation.Proposed solutions achieve better capacity as compared to ...
Development of expert systems for the prediction of scour depth under live-bed conditions at river confluences
This paper presents expert systems for predicting the maximum scour depth (SD).The methodology is applied to river confluences under live-bed condition.In this paper, MLP, RBF and M5P models are developed and compared to each other.Results show that the ...
A consistency model for group decision making problems with interval multiplicative preference relations
Construct referenced consistent IMPR (RCIMPR) and define consistency level for IMPR.Propose algorithm to improve consistency level for unacceptable consistent IMPR.Collective RCIMPR is the weighted geometric average of individual RCIMPRs. The main aim ...
Intelligent facial emotion recognition using a layered encoding cascade optimization model
- Siew Chin Neoh,
- Li Zhang,
- Kamlesh Mistry,
- Mohammed Alamgir Hossain,
- Chee Peng Lim,
- Nauman Aslam,
- Philip Kinghorn
A layered cascade optimization model is developed for facial emotion recognition.Two layered cascade-based evolutionary algorithms are proposed for feature selection.They focus on within-class and between-class variations for feature optimization.Both a ...
Memetic algorithms for the job shop scheduling problem with operators
Graphical abstractDisplay Omitted HighlightsNew neighborhood structures for the job shop scheduling problem with operators (JSO) are proposed and analyzed.A new memetic algorithm is proposed for the JSO that incorporates the neighborhood structures in ...
The integration of classification tree and Sequence Alignment Method for exploring groups of population based on daily time use data
This study proposes a method of classifying homogenous groups of population in the time use database.The model utilizes activity sequence patterns and socio-economic data in the time use data.An Integration of Classification tree And Sequence alignment ...
Inferential sensor-based adaptive principal components analysis of mould bath level for breakout defect detection and evaluation in continuous casting
Prediction capacities of PCA algorithm have been improved using an adaptive form-based moving windows technique.Breakout defect has been detected and evaluated using the main process data of continuous casting process.An accurate and precise model is ...
An ANFIS model of quality of experience prediction in education
The model uses ANFIS to predict the QoE in a blended educational environment.The paper explores subjective and objective techncal factors influencing QoE.Three ANFIS systems constructed using subtractive clustering and grid partitioning.The most ...
Prediction and reduction of diesel engine emissions using a combined ANN-ACO method
NOx and soot emissions from a diesel engine are modeled using artificial neural network model.The data used for training and testing the ANN model are obtained through testing a diesel engine.The mass fuel rate, intake air temperature, etc. are ...
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems
Graphical abstractWe present two artificial immune models in mutitemporal synthetic aperture radar images change detection. The first model, as shown in Fig. (a), simulates the immune process to classify pixels in the difference image into two classes, ...
Thermal-aware floorplanner for 3D IC, including TSVs, liquid microchannels and thermal domains optimization
Graphical abstractWe have designed an integrated framework based on a set of algorithms to place functional units, air channels, through silicon vias and liquid channels. Our framework performs an incremental floorplan design to optimize both ...
Emphasizing typing signature in keystroke dynamics using immune algorithms
Graphical abstractDisplay Omitted HighlightsThe paper focuses on keystroke dynamics in a one-class scenario.We show that proper data understanding and preprocessing can be crucial in this scenario.Samples from the same user present similarities in what ...
A hybrid fuzzy model for selecting and evaluating the e-book business model
This study aims to construct the business model for firms in Taiwan's e-book industry.This study applied a hybrid fuzzy MCDM approach including FAHP, VIKOR, GRA, and TOPSIS to achieve the aim.This study provides a complete analysis of e-book business ...
A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system
A cheap and portable approach to detect fall detection in real time is proposed.Acceleration data are gathered by a wearable sensor and sent to a mobile device.A set of IF-THEN rules is automatically extracted from acceleration data.This set of rules ...
Optimal driving during electric vehicle acceleration using evolutionary algorithms
A multi-objective based system proposed for comfortable driving strategy.Energy consumption, acceleration duration, and jerk considered as objectives.Crowding distance based NSGA-II was found appropriate to solve the problem.Role of decision variables ...
An unsupervised approach to generating generic summaries of documents
We model document summarization as a quadratic Boolean programming problem.We create a modified differential evolution to solve the optimization problem.Experimental study shows that the model improves the summarization results. We present an ...
Incorporating self-organizing map with text mining techniques for text hierarchy generation
Graphical abstractThis work proposes a scheme to improve the self-organizing map algorithm. This is the overall flowchart of the proposed algorithm. The key ingredients include:1.A novel topic identification scheme.2.Lateral expansion using novel topic ...
A hybrid CBO-PSO algorithm for optimal design of truss structures with dynamic constraints
A new hybrid CBO-PSO algorithm is presented by adding positive properties of the PSO algorithm to the CBO.The CBO is a recently developed meta-heuristic algorithm which does not use the internal parameter and memory in its formulation.In the CBO-PSO the ...
A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment
Location-routing scheduling problem including cross docking and direct shipment is modeled.A novel bi-clustering method is proposed for decomposing the problem.By the use of the bi-clustering method, large-scale problems are solved by exact methods. One ...
Distributed evolutionary algorithms and their models
Graphical abstractDisplay Omitted HighlightsProvide an updated and systematic review of distributed evolutionary algorithms.Classify the models into population and dimension-distributed groups semantically.Analyze the parallelism, search behaviors, ...
Novel fuzzy active contour model with kernel metric for image segmentation
Graphical abstractDisplay Omitted HighlightsWe propose a model which incorporates kernel metric and fuzzy logic for image segmentation.The updating of region prototypes is more robust against outliers and noise.The evolution of contour in our model is ...
Multi-elite guide hybrid differential evolution with simulated annealing technique for dynamic economic emission dispatch
The orthogonal initialization method is integrated into differential evolution.Modified mutation operator is used to control convergence rate with simulated annealing technique.Entropy diversity method is utilized to adaptively monitor the population ...
A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis
Graphical abstractDisplay Omitted HighlightsHuman safety is ensured for the wearer of exoskeleton.Adaptive controller without prior knowledge.Stability proved theoretically using Lyapunov approach.No chattering phenomena in the input control.External ...
Covariance matrix adaptation evolution strategy based design of fixed structure robust H∞ loop shaping controller
Design of fixed structure H∞ loop shaping controller using CMA-ES.Integral Time Absolute Error performance requirement is included as a constraint. c-constraint relaxation method is incorporated to CMA-ES for handling the constraint.Flexibility to fix ...
On the performances of the flower pollination algorithm - Qualitative and quantitative analyses
The Flower Pollination Algorithm is qualitatively and statistically analysed.Previous publications of the FPA are qualitatively analysed.CEC 2013 and some of CEC 2011 benchmarks are used for statistical analysis.The basic FPA has been found to offer ...
A simulating annealing algorithm to solve the green vehicle routing & scheduling problem with hierarchical objectives and weighted tardiness
A new mathematical model is developed to reduce CO2 emissions for vehicle routing.A simulating annealing algorithm is introduced to solve large-sized problems.CO2 emissions can be reduced by taking traffic congestion into account in vehicle ...
