Sharma T. Butterfly Optimization Algorithm..Engineering App 2022

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