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Constraint Handling in Cohort Intelligence Algorithm

2021-12-26 Business & Economics
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Release : 2021-12-26
Genre : Business & Economics
Kind : eBook
Book Rating : 48X/5 ( reviews)

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Book Synopsis Constraint Handling in Cohort Intelligence Algorithm by : Ishaan R. Kale

Download or read book Constraint Handling in Cohort Intelligence Algorithm written by Ishaan R. Kale. This book was released on 2021-12-26. Available in PDF, EPUB and Kindle. Book excerpt: 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

2021-12-26 Business & Economics
Download Constraint Handling in Cohort Intelligence Algorithm PDF Online Free

Author :
Release : 2021-12-26
Genre : Business & Economics
Kind : eBook
Book Rating : 514/5 ( reviews)

GET EBOOK


Book Synopsis Constraint Handling in Cohort Intelligence Algorithm by : Ishaan R. Kale

Download or read book Constraint Handling in Cohort Intelligence Algorithm written by Ishaan R. Kale. This book was released on 2021-12-26. Available in PDF, EPUB and Kindle. Book excerpt: 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

2016-09-22 Technology & Engineering
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Release : 2016-09-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 546/5 ( reviews)

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Book Synopsis Cohort Intelligence: A Socio-inspired Optimization Method by : Anand Jayant Kulkarni

Download or read book Cohort Intelligence: A Socio-inspired Optimization Method written by Anand Jayant Kulkarni. This book was released on 2016-09-22. Available in PDF, EPUB and Kindle. Book excerpt: 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

2021-04-12 Computers
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Release : 2021-04-12
Genre : Computers
Kind : eBook
Book Rating : 105/5 ( reviews)

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Book Synopsis Constraint Handling in Metaheuristics and Applications by : Anand J. Kulkarni

Download or read book Constraint Handling in Metaheuristics and Applications written by Anand J. Kulkarni. This book was released on 2021-04-12. Available in PDF, EPUB and Kindle. Book excerpt: 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

2022-12-27 Technology & Engineering
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Release : 2022-12-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 811/5 ( reviews)

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Book Synopsis Intelligent Systems and Applications by : Anand J. Kulkarni

Download or read book Intelligent Systems and Applications written by Anand J. Kulkarni. This book was released on 2022-12-27. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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