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Showing papers in "Information Sciences in 2012"


Journal ArticleDOI
TL;DR: An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale non-linear optimization problems for finding the global solutions.

1,359 citations


Journal ArticleDOI
TL;DR: Modified versions of the Artificial Bee Colony algorithm are introduced and applied for efficiently solving real-parameter optimization problems.

1,056 citations


Journal ArticleDOI
TL;DR: It is suggested that the use of a blocked form of cross-validation for time series evaluation became the standard procedure, thus using all available information and circumventing the theoretical problems.

596 citations


Journal ArticleDOI
TL;DR: After a decade of extensive and intensive successful use of the 2-tuple linguistic representation model in computing with words for different fields, it is the right moment to overview the model, its extensions, specific methodologies, applications and discuss challenges in the topic.

472 citations


Journal ArticleDOI
TL;DR: A framework for the study of covering based rough set approximations is proposed and three equivalent formulations of the classical rough sets are examined by using equivalence relations, partitions, and @s-algebras.

440 citations


Journal ArticleDOI
TL;DR: The geometric Bonferroni mean (GBM) is explored considering both the BM and the geometric mean (GM) under hesitant fuzzy environment and the proposed aggregation operators to multi-criteria decision making are applied.

440 citations


Journal ArticleDOI
TL;DR: Some sufficient conditions are obtained to guarantee the exponential synchronization of the coupled networks based on drive-response concept, differential inclusions theory and Lyapunov functional method.

367 citations


Journal ArticleDOI
TL;DR: The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications and generally outperforms the original ELM algorithm as well as several recent classification algorithms.

329 citations


Journal ArticleDOI
TL;DR: Two methods for multiple attribute group decision making problems with intuitionistic uncertain linguistic information have been proposed and an illustrative example is given to demonstrate their practicality and effectiveness.

275 citations


Journal ArticleDOI
TL;DR: A new bare-bones multi-objective particle swarm optimization algorithm which has three distinctive features: a particle updating strategy which does not require tuning up control parameters; a mutation operator with action range varying over time to expand the search capability; and an approach based on particle diversity to update the global particle leaders.

264 citations


Journal ArticleDOI
TL;DR: The application of Ant Colony Optimization and Particle Swarm Optimization on the optimization of the membership functions' parameters of a fuzzy logic controller in order to find the optimal intelligent controller for an autonomous wheeled mobile robot is described.

Journal ArticleDOI
TL;DR: The ultimate goal of this paper is to provide reminders for metaheuristics' researchers and practitioners in order to avoid similar mistakes regarding both the qualitative and quantitative aspects, and to allow fair comparisons of the TLBO algorithm to be made with other metaheuristic algorithms.

Journal ArticleDOI
TL;DR: The main features of the segmentation algorithms are analysed and the most recent important techniques are classified into different strategies according to their main principle, pointing out their strengths and weaknesses and suggesting new research directions.

Journal ArticleDOI
TL;DR: This paper has suggested a framework for using an OX in DE variants and proposed OXDE, a combination of DE/rand/1/bin and OX, and demonstrated that this framework can also be used for improving the performance of other DE variants.

Journal ArticleDOI
TL;DR: The quality of the solutions of the new nature inspired metaheuristic approach based on the V flight formation of the migrating birds are better than simulated annealing, tabu search, genetic algorithm, scatter search, particle swarm optimization, differential evolution and guided evolutionary simulatedAnnealing approaches.

Journal ArticleDOI
TL;DR: This article proposes and investigates a hybrid method for fault signal classification based on sensor data fusion by using the Support Vector Machine (SVM) and Short Term Fourier Transform (STFT) techniques and compares it against some other standard fault classification techniques.

Journal ArticleDOI
TL;DR: This paper presents a novel mobile recommender system that brings together a hybrid recommendation engine and a mobile 3D GIS architecture that allows tourists to benefit from innovative features such as a 3D map-based interface and real-time location-sensitive recommendations.

Journal ArticleDOI
TL;DR: A fast sequential covariance intersection (SCI) Kalman filtering algorithm is presented in this paper, which only requires to solve the optimization problem of several one-dimensional nonlinear cost functions.

Journal ArticleDOI
TL;DR: Simulation-based experimental results involving the classical (i.e. conventional or non-quantum) simulation of the input images, watermark signals, and quantum circuits yielded a 25% improvement in terms of overall watermark-embedding capacity and between 7% and 50.7% in the visible quality of the watermarked images in comparison with select digital watermarking methods for various pairs, thus, demonstrating both the feasibility and capabilities of the proposed WaQI scheme.

Journal ArticleDOI
TL;DR: A comparison of state-of-the-art optimization techniques to solve multi-pass turning optimization problems is presented and a hybrid technique based on differential evolution algorithm is introduced for solving manufacturing optimization problems.

Journal ArticleDOI
TL;DR: In this work, a set of symbolic regression benchmark problems are solved using artificial bee colony programming and then its performance is compared with the very well-known method evolving computer programs, genetic programming.

Journal ArticleDOI
TL;DR: A hybrid fuzzy linguistic recommender system to help the Technology Transfer Office staff in the dissemination of research resources interesting for the users and discovers potential collaboration possibilities in order to form multidisciplinary working groups.

Journal ArticleDOI
TL;DR: A new variant of the HS algorithm is proposed that maintains a proper balance between diversification and intensification throughout the search process by automatically selecting the proper pitch adjustment strategy based on its Harmony Memory.

Journal ArticleDOI
TL;DR: This paper presents a variant of single-objective PSO called Dynamic Neighborhood Learning Particle Swarm Optimizer (DNLPSO), which uses learning strategy whereby all other particles' historical best information is used to update a particle's velocity as in CLPSO.

Journal ArticleDOI
TL;DR: The comparison results between the COMDE and the other 28 state-of-the-art evolutionary algorithms indicate that the proposed COMDE algorithm is competitive with, and in some cases superior to, other existing algorithms in terms of the quality, efficiency, convergence rate, and robustness of the final solution.

Journal ArticleDOI
TL;DR: It is proved that the QPSO algorithm is a form of contraction mapping and can converge to the global optimum and a new definition for the convergence rate of a stochastic algorithm as well as definitions for three types of convergence according to the correlations between the convergence rates and the objective function values are provided.

Journal ArticleDOI
TL;DR: A novel local search technique is integrated with some existing PSO based multimodal optimization algorithms to enhance their local search ability and the experimental results suggest that the proposed technique not only increases the probability of finding both global and local optima but also reduces the average number of function evaluations.

Journal ArticleDOI
TL;DR: The active information storage is introduced, which quantifies the information storage component that is directly in use in the computation of the next state of a process, and it is demonstrated that the local entropy rate is a useful spatiotemporal filter for information transfer structure.

Journal ArticleDOI
TL;DR: This work considers the application of genetic algorithms, particle swarm optimization and ant colony optimization as three different paradigms that help in the design of optimal type-2 fuzzy systems.

Journal ArticleDOI
TL;DR: The validness and robustness of this new centrality measure is investigated by illustrating this method to some classical weighted social network data sets and obtaining reliable results, which provide strong evidences of the new measure's utility.