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Details for:
Sharma T. Butterfly Optimization Algorithm..Engineering App 2022
sharma t butterfly optimization algorithm engineering app 2022
Type:
E-books
Files:
1
Size:
1.4 MB
Uploaded On:
Oct. 16, 2022, 9:17 a.m.
Added By:
andryold1
Seeders:
3
Leechers:
0
Info Hash:
F993380EC1ED352EBEDABFC2D8E9BECB66ED751D
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Textbook in PDF format This book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm. Preface About the Authors Butterfly Optimization Algorithm Introduction Butterfly Optimization Algorithm (BOA) and Related Literature Conclusions and Next Study References Differential Butterfly Optimization Algorithm — A Hybrid Variant Proposed Algorithm: DBOA Differential Evolution (DE) Concept of Bidirectional Search Experimental Settings, Constrained Handling and Complexity of DBOA Parameter Settings Computational Analysis and Complexity of DBOA Constraint Handling Conclusions and Future Study References Application of DBOA in Structural Engineering Design Problems Introduction Test Bed Unconstrained Benchmark Problems Engineering Design Problems Himmelblau’s Nonlinear Constrained Optimization Problem Result Discussions and Analysis Comparative Simulated Results and Analysis on Unconstrained Benchmark Functions Experimental Result of Engineering Design Problems Non Linear Constrained Optimization Problems by Himmelblau’s Conclusions with Future Scope References Application of DBOA in Pulp and Paper Process Optimization Introduction Optimization Problem in Pulp and Paper Manufacturing Process Kraft Pulping Load Allocation to Boilers Drying Process Trim Loss Result Analysis Conclusions References Conclusion and Future Directions Conclusion of the Work Future Directions
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Sharma T. Butterfly Optimization Algorithm..Engineering App 2022.pdf
1.4 MB
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