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Article
Building 3-D Visual Perception of a Mobile Robot Employing Extended Kalman Filter
The paper aims at designing a novel scheme for sensory data fusion by a mobile robot for reconstructing its 3-D world from their multiple gray images. Extended Kalman filter has been employed for determining t...
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Chapter and Conference Paper
An Improved Differential Evolution Scheme for Noisy Optimization Problems
Differential Evolution (DE) is a simple and surprisingly efficient algorithm for global optimization over continuous spaces. It has reportedly outperformed many versions of EA and other search heuristics when ...
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Chapter and Conference Paper
A Novel Algorithm for Automatic Species Identification Using Principal Component Analysis
This paper describes a novel scheme for automatic identification of a species from its genomic data. Random samples of a given length (10,000 elements) are taken from a genome sequence of a particular species....
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Chapter and Conference Paper
An Evolutionary SPDE Breeding-Based Hybrid Particle Swarm Optimizer: Application in Coordination of Robot Ants for Camera Coverage Area Optimization
In this paper we propose a new Hybrid Particle Swarm Optimizer model based on particle swarm, with breeding concepts from novel evolutionary algorithms. The hybrid PSO combines traditional velocity and positio...
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Chapter
Swarm Intelligence Algorithms in Bioinformatics
Research in bioinformatics necessitates the use of advanced computing tools for processing huge amounts of ambiguous and uncertain biological data. Swarm Intelligence (SI) has recently emerged as a family of n...
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Chapter
Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives
Since the beginning of the nineteenth century, a significant evolution in optimization theory has been noticed. Classical linear programming and traditional non-linear optimization techniques such as Lagrange’...
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Book
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Book
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Chapter
Electroencephalographic Signal Processing for Detection and Prediction of Emotion
This chapter deals with processing of electroencephalographic signals for detection and prediction of emotion. Prediction of electroencephalographic signal form past samples are needed for early diagnosis of p...
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Chapter
Open Research Problems
This chapter outlines some open research problems in Emotional Intelligence. It begins with reasoning with and without emotions, and justifies that reasoning with emotions may introduce contradictions, and thu...
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Chapter
Conclusions and Future Research
This Chapter provides a critical review of the works presented in this Volume and also narrates the scope of potential applications of the different metaheuristic-based automatic clustering schemes in data min...
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Chapter
Multiple Emotions and Their Chaotic Dynamics
The chapter addresses the issues of co-operation/competition of multiple emotional states in the human brain, and realizes the same using a recurrent neural dynamics. It also deals with stability analysis of d...
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Chapter
Mathematical Modeling and Analysis of Dynamical Systems
This chapter provides mathematical preliminaries on dynamical systems to enable the readers to visualize the dynamic behavior of physical systems, with an ultimate aim to construct models of emotional dynamics...
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Chapter
Control of Mental Stability in Emotion-Logic Interactive Dynamics
Stability of physical system is usually analyzed from the static and dynamic considerations of the system. Classical logic of propositions can be compared with a static physical system from the point of view o...
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Chapter
Metaheuristic Pattern Clustering – An Overview
This chapter provides a comprehensive overview to the data clustering techniques, based on naturally-inspired metaheuristic algorithms. At first the clustering problem, similarity and dissimilarity measures be...
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Chapter
Modeling and Analysis of the Population-Dynamics of Differential Evolution Algorithm
Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to develop more efficient algorithms. In this c...
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Chapter
Fuzzy Clustering in the Kernel-Induced Feature Space Using Differential Evolution Algorithm
This chapter introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. The proposed method is based on...
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Chapter
Introduction to Emotional Intelligence
This chapter provides an introduction to emotional intelligence. It attempts to define emotion from different perspectives, and explores possible causes and varieties. Typical characteristics of emotion, such ...
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Chapter
Preliminaries on Image Processing
This chapter provides an introduction to digital image processing. With a brief review on file formatting of images, it addresses the well-known frequency domain transforms such as discrete Fourier and discret...
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Chapter
Fuzzy Models for Facial Expression-Based Emotion Recognition and Control
The chapter examines the scope of fuzzy relational approach to human emotion recognition from facial expressions, and its control. Commercial audio-visual movies pre-selected for exciting specific emotions hav...
