Constraint handling in cohort intelligence algorithm. (2021)

• Record Type: Book
• Further Information: Note: Ishaan R. Kale, Anand J. Kulkarni.
• Authors: Kale, Ishaan R; Kulkarni, Anand Jayant
• Contents: 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
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 006.3; Artificial intelligence; Computational intelligence; Algorithms
• Languages: English
• ISBNs: 9781000520514; 9781000520484; 9781003245193
• Related ISBNs: 9781032150758
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.