Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Author: Apoorva Shastri

Publisher: Springer Nature

Published: 2020-08-11

Total Pages: 134

ISBN-13: 9811577978

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This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.


Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability

Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability

Author: Cabrera, Francisco Mata

Publisher: IGI Global

Published: 2024-05-15

Total Pages: 326

ISBN-13: 1668499282

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Academic scholars engaged in machining polymer matrix composites face challenges due to material property variations, complex structures, and the pursuit of high surface quality. The lack of comprehensive resources further hampers their ability to develop efficient and sustainable machining techniques. Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability, edited by Francisco Mata Cabrera and Issam Hanafi, offers a comprehensive solution. This book provides practical knowledge on tool selection, cutting parameters, surface quality, and tool wear, empowering scholars to overcome the intricacies of machining these materials. With insights into turning, milling, drilling, grinding, and advancements in high-speed and ultrasonic machining, the book equips scholars with a comprehensive toolbox for optimizing their machining techniques. The book goes beyond technique to address environmental impact, covering topics such as energy consumption, waste generation, and emissions. Through case studies, it offers practical applications and valuable insights into the challenges and opportunities of machining polymer matrix composites. This comprehensive solution, encompassing knowledge, practical guidance, and sustainability considerations, empowers academic scholars to achieve high-quality machined components while minimizing their environmental footprint. Regardless of their expertise level, whether beginners seeking fundamental understanding or experienced professionals in need of advanced insights, scholars will find this book an indispensable resource. By covering tool selection, cutting parameters, surface quality, and environmental impact, Machining Polymer Matrix Composites: Tools, Techniques, and Sustainability equips scholars with the necessary tools to excel in machining polymer matrix composites.


Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems

Author: Ganesh M. Kakandikar

Publisher: CRC Press

Published: 2020-12-08

Total Pages: 279

ISBN-13: 1000258386

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The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.


Intelligent Systems and Applications

Intelligent Systems and Applications

Author: Anand J. Kulkarni

Publisher: Springer Nature

Published: 2022-12-27

Total Pages: 512

ISBN-13: 9811965811

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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.


Constraint Handling in Cohort Intelligence Algorithm

Constraint Handling in Cohort Intelligence Algorithm

Author: Ishaan R. Kale

Publisher: CRC Press

Published: 2021-12-26

Total Pages: 207

ISBN-13: 100052048X

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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.


Bio-Inspired Optimization Techniques in Blockchain Systems

Bio-Inspired Optimization Techniques in Blockchain Systems

Author: Vignesh, U.

Publisher: IGI Global

Published: 2024-01-29

Total Pages: 306

ISBN-13:

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In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.


Materials, Design and Manufacturing for Sustainable Environment

Materials, Design and Manufacturing for Sustainable Environment

Author: Elango Natarajan

Publisher: Springer Nature

Published: 2022-09-28

Total Pages: 716

ISBN-13: 9811930538

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The book presents select proceedings of the International Conference on Materials, Design and Manufacturing (ICMDMSE 2022). The book covers recent trends in design and manufacturing practices relating to sustainability. Various topics covered in this book include materials design for sustainability, material characterization, tribology, finite element methods (FEM), computational fluid dynamics in designing materials, manufacturing techniques inclined to sustainability, additive manufacturing, energy, Industry 4.0, MEMS, green manufacturing, and optimization techniques. This book will be useful for researchers and professionals working in various fields of mechanical engineering.


Optimization Methods for Structural Engineering

Optimization Methods for Structural Engineering

Author: Ishaan R. Kale

Publisher: Springer Nature

Published: 2023-06-06

Total Pages: 233

ISBN-13: 9819923786

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This contributed book focuses on optimization methods inspired by nature such as Harmony Search Algorithm, Drosophila Food-Search Algorithm, Cohort intelligence algorithm and its variations, fuzzy logic along with their hybridization variants. It also focuses on multi-objective optimization algorithms such as Non-Dominated Sorting Genetic Algorithm, Particle Swarm Optimization, Evolutionary Algorithm, Pareto Envelope Selection Algorithm, and Strength Pareto Evolutionary Algorithm. The content focuses on topics such as the optimal design of truss systems with various applications, the design and simulation of quarter car systems for comfort design, the road handling design and a balanced system, and topology optimization of 2-dimensional and 3-dimensional structure in linear elasticity, plasticity and fracture mechanics among others. This book is a useful reference for those in academia and industry.


Optimization Methods for Product and System Design

Optimization Methods for Product and System Design

Author: Anand J. Kulkarni

Publisher: Springer Nature

Published: 2023-06-11

Total Pages: 266

ISBN-13: 981991521X

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This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying principles, mathematical formulations, critical reviews and experimentations, and solutions to complex problems from within the domains such as mechanical engineering design and manufacturing, fault detection and diagnosis, control systems, financial systems, machine learning in medical image processing as well as problems from operations research domain. It will serve as a valuable reference to academicians and industry practitioners involved in improving the efficiency, cost, performance, and durability of the products and systems. The chapters in this book may further give impetus to explore new avenues leading towards multidisciplinary research discussions associated with the resilience and sustainability of the existing systems.