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

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s discontent. In 1953, when the warring parties signed a truce to halt the war, he took the occasion of his weekly radio program to register his dissatisfaction. “It was the first war in American history,” he complained, “that we have not won.”. Throughout the past three years of fighting, “we have

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Anasua Sarkar,Rajib Daslmaps are employed as a basis for pose estimation. In contrast to knownapproaches, the normal maps are not used for 3D data computation but directlyfor the object localization problem, enabling the application 978-3-319-79963-6978-3-319-26500-1Series ISSN 2198-4182 Series E-ISSN 2198-4190

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Suranjan Ganguly,Debotosh Bhattacharjee,Mita Nasipuri

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Study of Economic Load Dispatch by Various Hybrid Optimization Techniquesome soft computing techniques like . (.), . (.), . (.), . (.), . (.), . (.), etc. are now being applied to find even better solution to the ELD problem. An interesting trend in this area is application of hybrid approaches like .-., .-., .-. etc. and the results are found to be highly competitive. I

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Hybridizing Differential Evolution Variants Through Heterogeneous Mixing in a Distributed Frameworkbustness of the heterogeneous mixing of best variants. The chapter also hybridized . and dynamic . variants in a distributed framework. The robustness of the resulting framework has been validated by benchmarking it against the state-of-the-art . algorithms in the literature.

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Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Co of TECs were discussed. After that, a new method of optimizing the dimension of TECs using collaborative simulated annealing genetic algorithm (CSAGA) to maximize the rate of refrigeration (ROR) was proposed. Equality constraint and inequality constraint were taken into consideration. The results o

退出可食用

Color Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG Activation Function: An Applicatie PSONN architecture. All the methods are applied on a real-life color MR brain image and the quality of the segmented images are accessed by four standard objective functions. The comparison shows that the ParaOptiMUSIG activation function-based method and the NSGA-II-based ParaOptiMUSIG activation