Constraint Handling in Cohort Intelligence Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Constraint Handling in Cohort Intelligence Algorithm write by Ishaan R. Kale. This book was released on 2021-12-26. Constraint Handling in Cohort Intelligence Algorithm available in PDF, EPUB and Kindle. Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.
Constraint Handling in Cohort Intelligence Algorithm
Constraint Handling in Cohort Intelligence Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Constraint Handling in Cohort Intelligence Algorithm write by Ishaan R. Kale. This book was released on 2021-12-26. Constraint Handling in Cohort Intelligence Algorithm available in PDF, EPUB and Kindle. Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.
Cohort Intelligence: A Socio-inspired Optimization Method
Cohort Intelligence: A Socio-inspired Optimization Method - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cohort Intelligence: A Socio-inspired Optimization Method write by Anand Jayant Kulkarni. This book was released on 2016-09-22. Cohort Intelligence: A Socio-inspired Optimization Method available in PDF, EPUB and Kindle. This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems.
Constraint Handling in Metaheuristics and Applications
Constraint Handling in Metaheuristics and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Constraint Handling in Metaheuristics and Applications write by Anand J. Kulkarni. This book was released on 2021-04-12. Constraint Handling in Metaheuristics and Applications available in PDF, EPUB and Kindle. This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena.
Intelligent Systems and Applications
Intelligent Systems and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Systems and Applications write by Anand J. Kulkarni. This book was released on 2022-12-27. Intelligent Systems and Applications available in PDF, EPUB and Kindle. This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry.
