This is a valuable reference to practitioners, students and researchers in the area of optimization methods. CI is investigated by solving discrete variable truss structural problems, mixed variable design engineering problems, linear and nonlinear constrained test problems and real-world applications from the manufacturing domain.
This is a valuable reference to practitioners, students and researchers in the area of optimization methods. CI is investigated by solving discrete variable truss structural problems, mixed variable design engineering problems, linear and nonlinear constrained test problems and real-world applications from the manufacturing domain.
Ishaan R. Kale is a researcher for the Optimization and Agent Technology Research (OAT Research) Lab. Anand J. Kulkarni is an Associate Professor at the Institute of Artificial Intelligence, MIT World Peace University, India.
Inhaltsangabe
Chapter 1: Introduction to Metaheuristic Algorithms Chapter 2: Literature Survey on Nature Inspired Optimisation Methodologies and Constraint Handling Chapter 3: Cohort Intelligence (CI) Using the Static Penalty Function (SPF) Approach Chapter 4: Constraint Handling Using the Self-Adaptive Penalty Function (SAPF) Approach Chapter 5: Hybridization of Cohort Intelligence with Colliding Bodies Optimisation Chapter 6: Validation of CI-SPF, CI-SAPF and CI-SAPF-CBO for Solving Discrete/Integer and Mixed Variable Problems Chapter 7: Solution to Real-World Applications Chapter 8: Conclusions and Recommendations Appendix: Problem Statements for the Truss Structure, Design Engineering, Linear and Nonlinear Programming and Manufacturing Problems Index
Chapter 1: Introduction to Metaheuristic Algorithms Chapter 2: Literature Survey on Nature Inspired Optimisation Methodologies and Constraint Handling Chapter 3: Cohort Intelligence (CI) Using the Static Penalty Function (SPF) Approach Chapter 4: Constraint Handling Using the Self-Adaptive Penalty Function (SAPF) Approach Chapter 5: Hybridization of Cohort Intelligence with Colliding Bodies Optimisation Chapter 6: Validation of CI-SPF, CI-SAPF and CI-SAPF-CBO for Solving Discrete/Integer and Mixed Variable Problems Chapter 7: Solution to Real-World Applications Chapter 8: Conclusions and Recommendations Appendix: Problem Statements for the Truss Structure, Design Engineering, Linear and Nonlinear Programming and Manufacturing Problems Index
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