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Microgenetic algorithms as generalized hill-climbing operators for GA optimization
TLDR
We investigate the potential of a microgenetic algorithm (MGA) as a generalized hill-climbing operator. Expand
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Evaluation of shape descriptors for shape-based image retrieval
TLDR
This article presents a comparative study between scale, rotation and translation invariant descriptors for shape representation and retrieval. Expand
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A novel approach to short-term load forecasting using fuzzy neural networks
An efficient modeling technique based on the fuzzy curve notion is developed in this paper to generate fuzzy models for short-term load forecasting. The suggested forecasting approach proceeds on theExpand
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A GA-based fuzzy modeling approach for generating TSK models
TLDR
This paper proposes a new genetic-based modeling method for building simple and well-defined TSK models with scatter-type input partitions. Expand
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Granular self-organizing map (grSOM) for structure identification
TLDR
This work presents a useful extension of Kohonen's Self-Organizing Map (KSOM) for structure identification in linguistic (fuzzy) system modeling applications. Expand
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Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs)
TLDR
This work introduces a genetically optimized synergy based on intervals' numbers, or INs for short. Expand
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Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition
TLDR
This paper proposes a fundamentally novel extension, namely, flrFAM, of the fuzzy ARTMAP (FAM) neural classifier for incremental real-time learning and generalization based on fuzzy lattice reasoning techniques. Expand
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A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
TLDR
The fuzzy lattice reasoning (FLR) classifier was introduced lately as an advantageous enhancement of the fuzzy-ARTMAP (FAM) neural classifier in the Euclidean space R^N. Expand
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An in depth economic restructuring framework by using particle swarm optimization
Abstract The aim of this paper is the development of an integrated framework, based on environmental input-output analysis, for optimizing the economic structure of an economy. The restructuringExpand
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Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques
TLDR
This work introduces a Type-II fuzzy lattice reasoning (FLRtypeII) scheme for learning/generalizing novel 2D shape representations. Expand
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