Cauchy mutation based on objective variable of Gaussian particle swarm optimization for parameters selection of SVM
On the basis of the slow convergence of particle swarm algorithm (PSO) during parameters selection of support vector machine (SVM), this paper proposes a hybrid mutation strategy that integrates Gaussian mutation operator and Cauchy mutation operator ...
Estimation the parameters of Lotka-Volterra model based on grey direct modelling method and its application
Research highlights In this study, based on the grey direct modelling method, we present linear programming method to estimate the parameters of the Lotka-Volterra model under the criterion of the minimization of mean absolute percentage error. Then use ...
Genetic-based minimum classification error mapping for accurate identifying Peer-to-Peer applications in the internet traffic
Research highlights In this study, a hybrid approach using genetic algorithm and neural networks to classify Peer-to-Peer traffic is proposed. We first compute the minimum classification error (MCE) matrix using genetic algorithm. The MCE matrix is then ...
Early warning of enterprise decline in a life cycle using neural networks and rough set theory
Highlights We model Early warning of enterprise decline in a life cycle using neural networks and rough set theory. We examine the utilization of rough set for attribution reduction as a data preprocessing technique. Based on an interesting dataset from ...
Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network
Research highlights FCN is useful framework for causal discovery and decision support in tobacco control systems. FCN is a better tool to analyze non-liner data, compared with the traditional statistical techniques, such as liner and logistics ...
Two-stage multinomial logit model
We suggest a two-stage multinomial logit model (TMLM) for incorporating and interpreting both the interaction and main effects in the model for multi-categorized responses. TMLM combines the robustness of multinomial logit model (MLM) with the good ...
Differential evolution and quantum-inquired differential evolution for evolving Takagi-Sugeno fuzzy models
Research highlights DE/QDE can solve numerical and binary optimization problems. DE/QDE can simultaneously optimize the structure and the parameters of the model. A new encoding scheme is given to allow DE/QDE to be easily performed. The differential ...
Measuring process capability index Cpmk with fuzzy data and compare it with other fuzzy process capability indices
The index Cpmk is a well-known loss-based process capability index. It can reveal more information about the location of the process mean compared with other classic process capability indices. This index is also more sensitive than other capability ...
Automatic phonocardiograph signal analysis for detecting heart valve disorders
Research highlights This paper presents system for automatically determining the heart condition. The cycle segmentation is based on autocorrelation of heart beats. The feature extraction includes the STFT, DCT, and the adaptive feature selection. Only ...
Two learning approaches for a rule-based intuitive reasoner
Research highlights This study is associated with a forward-chained, rule-based prediction algorithm. We test two heuristics that improve the classification accuracy of predictions. Predictions using variables relevant to the target variable result in ...
Data mining for adaptive learning in a TESL-based e-learning system
Research highlights Adaptive learning in TESL. Data mining in e-learning system. e-learning system for TESL. This study proposes an Adaptive Learning in Teaching English as a Second Language (TESL) for e-learning system (AL-TESL-e-learning system) that ...
Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms
Research highlights We model multi-robot task allocation problem which maximize utilization and minimize the travel cost. We propose a methodology for the real time (NP Hard) multi-robot task allocation problem which includes clustering and auction ...
Student modeling for a web-based self-assessment system
Research highlights We review student modeling techniques. We introduce a web-based self-assessment system. We introduce a novel spectrogram-like student knowledge model. We test students' learning preferences. Detecting weaknesses in students' ...
Comparing ANFIS and SEM in linear and nonlinear forecasting of new product development performance
Though the hi-tech industry has focused on value innovation and improving the quality of the new product development (NPD) process to drive new product performance, new product success has not changed dramatically over the years. This study presents a ...
Case-based parametric design system for test turntable
Research highlights We present a case-based parametric design system for test turntable. We build our product's 3D model parametrically and save as a design knowledge-base. We use the CBR method to retrieve case(s). Combining the two methods makes the ...
Applying dual analysis for efficiency improvement with application to the Asian lead frame firms
Research highlights We provide the alternative targets of factors for inefficient firms to improve performance. The managers can set better targets obtained from dual analysis for performance improvement. The management practices obtained can be used as ...
A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem
Research highlights In genetic algorithms, selection based on the quality produce premature convergence. Crossover is sensitive to the gene position when the representation of the chromosome, is linear. The ends of this type of chromosome have very low ...
Event-driven architecture for decision support in traffic management systems
Research highlights Event-driven architectures (EDA) can be applied on decision support systems. A hierarchy of event types reflects the decision process that is a sequence of event processing steps. With Complex Event Processing (CEP) continuous ...
The City Trip Planner
Research highlights City Trip Planner integrates selection of attractions with routing between them. It provides personalised interest estimation. The real-time planning takes into account personal constraints and opening hours. Usage statistics and ...
Decision making for contractor insurance deductible using the evolutionary support vector machines inference model
Research highlights Loss risk during the course of a construction project may be described in terms of loss frequency and loss severity. This study focused on improving the methodology used to evaluate loss risk. This research established a loss risk ...
Combined heat and power economic dispatch by mesh adaptive direct search algorithm
Research highlights In this study, an optimization method, namely mesh adaptive direct search (MADS) is introduced to solve combined heat and power (CHP) economic dispatch problem. MADS is a recently developed algorithm that is supported by a thorough ...
Particle swarm optimization with selective particle regeneration for data clustering
Research highlights We present a novel algorithm developed based on particle swarm optimization. The algorithm contains particle regeneration operation. We apply this algorithm to data clustering problems. The proposed algorithm performs very well in ...
Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology
Research highlights We proposed a modified fuzzy TOPSIS methodology for energy planning decisions. The weights of the selection criteria are determined by fuzzy AHP. The method is applied to a multicriteria energy planning problem. Energy planning is a ...
Intelligent system applications in electronic tourism
Research highlights Electronic tourism is an efficient marketing channel for the travel agencies. Intelligent systems help the online travel agencies to develop special services. As the travelling choice highly depends on the past experiences, Case ...
Ant colony optimization based sensor deployment protocol for wireless sensor networks
Research highlights We consider the problem of sensor deployment to achieve complete coverage of the service region and maximize the lifetime of the network. We model the deployment problem as the multiple knapsack problem. Based on ACO algorithm, we ...
A study on performance tracing of the e-MP policy
Research highlights This paper used Fuzzy AHP to find "initial expectation" of enterprises adopting B2BIS. The "initial expectation" corresponds to the improvement in operational efficiency and customer satisfaction. The performance measures ...
Scale and cost efficiency analysis of networks of processes
Research highlights Network DEA considers subprocesses and intermediate flows among them. Simple technical and cost efficiency network DEA models are presented. Each subprocess can have its own Returns to Scale assumption. Overall Returns to Scale and ...
