Titlebook: Hybrid Soft Computing Approaches; Research and Applica Siddhartha Bhattacharyya,Paramartha Dutta,Susanta Book 2016 Springer India 2016 Hyb

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Study of Economic Load Dispatch by Various Hybrid Optimization Techniquesal combination of generation level of all power generating units in order to minimize the total fuel cost while satisfying the loads and losses in power transmission system. In view of the sharply increasing nature of cost of fossil fuel, energy management has gained lot of significance nowadays. He

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Unsolved Problems of Ambient Computationally Intelligent TBM Algorithmserimentally solved protein structures exist in Protein Data Bank (PDB) in comparison to their considerably higher count of sequence available in UniProtKB/Swiss-Prot. Ambient template-based modelling (TBM) algorithms computationally predict conformational details of a protein sequence on the basis o

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Hybridizing Differential Evolution Variants Through Heterogeneous Mixing in a Distributed Frameworkristics of different Differential Evolution (.) variants (could as well be extended to evolutionary algorithms variants in general) through heterogeneous mixing in a distributed framework also holds a great potential. This chapter proposes to mix competitive . variants with diverse characteristics i

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Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Cont and dynamic parts are needed. TECs generate no electrical or acoustical noise and are environment friendly. Over the past decades, many researches were employed to improve the efficiency of TECs by enhancing the material parameters and design parameters. The material parameters are the most signi

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Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Mane, carbon dioxide, nitrogen oxide, carbon monoxide, etc. Hence, predetermination of these gases is imperative. A neural network (NN)-based intelligent sensory system was?proposed for avoiding?such fatalities. Backpropagation (BP) was applied for?supervised training of the proposed?neural network?mo

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A Soft Computing Approach for Targeted Product Promotion on Social Networkssystems. One of the prominent nature inspired algorithms is firefly algorithm. The algorithm simulates the attraction approach of real fireflies where each firefly has specific agenda and coordinates with other fireflies in the group (swarm) to achieve the same. The presented work employs this attra

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Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis are always the key features for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of rough set theory and particle swarm optimization methods. Rough set theory deals with incompleteness and vagueness among data, which property may be utilized

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A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection Using Breast Therm of the cancer patients. Medical infrared thermography (MIT) with sensitivity 90?% has proved itself as a safe and promising method for early breast cancer detection. Moreover, an abnormal breast thermogram can signify breast pathology. The accurate classification and diagnosis of these breast therm