A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Speeding up backpropagation using multiobjective evolutionary algorithms
Neural Computation
A critical review of multi-objective optimization in data mining: a position paper
ACM SIGKDD Explorations Newsletter
Multi-objective optimization of structures topology by genetic algorithms
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
On semi-supervised clustering via multiobjective optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
EFuNN Ensembles Construction Using CONE with Multi-objective GA
SBRN '06 Proceedings of the Ninth Brazilian Symposium on Neural Networks
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Classification by evolutionary ensembles
Pattern Recognition
Image histogram thresholding based on multiobjective optimization
Signal Processing
Multiobjective clustering with automatic k-determination for large-scale data
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
International Journal of Approximate Reasoning
Objective reduction using a feature selection technique
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Cellular Genetic Algorithms
Introduction to Multiobjective Optimization: Noninteractive Approaches
Multiobjective Optimization
Introduction to Multiobjective Optimization: Interactive Approaches
Multiobjective Optimization
A scalable framework for cluster ensembles
Pattern Recognition
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Objective reduction in evolutionary multiobjective optimization: Theory and applications
Evolutionary Computation
The Comparative Research on Image Segmentation Algorithms
ETCS '09 Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 02
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A hybrid approach for efficient ensembles
Decision Support Systems
Evolutionary image segmentation based on multiobjective clustering
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Data Clustering Using Multi-objective Differential Evolution Algorithms
Fundamenta Informaticae
Image thresholding based on Pareto multiobjective optimization
Engineering Applications of Artificial Intelligence
Optimization of scalarizing functions through evolutionary multiobjective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Multiobjective data clustering
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
New ideas in applying scatter search to multiobjective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
An Evolutionary Approach to Multiobjective Clustering
IEEE Transactions on Evolutionary Computation
Multiobjective GAs, quantitative indices, and pattern classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Survey of clustering algorithms
IEEE Transactions on Neural Networks
DBCAMM: A novel density based clustering algorithm via using the Mahalanobis metric
Applied Soft Computing
User behaviour-driven group formation through case-based reasoning and clustering
Expert Systems with Applications: An International Journal
Efficient classifiers for multi-class classification problems
Decision Support Systems
Engineering Applications of Artificial Intelligence
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
Multi-level image thresholding by synergetic differential evolution
Applied Soft Computing
Hi-index | 0.00 |
This paper aims to provide a comprehensive review of nature-inspired techniques used in image segmentation problems. We focus particularly on multi-objective clustering and classification approaches. The approaches are classified based on the various aspects of optimization, various possible problem formulations, and types of datasets modeled. In the multi-objective clustering methods, the definition of the types of representation methods, encoding techniques, and number of clusters defined (fixed/variable) are presented. In the use of multi-objective nature-inspired techniques in classification, we describe issues related to diversity measures, accuracy measures, rule manipulation, and managing uncertainties. Through our analysis of the current state of research, we hope to address important challenges and provide specific directions for future modeling of similar problems with multi-objective optimization techniques.