Constraint Handling in Cohort Intelligence Algorithm

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Publisher : CRC Press
ISBN 13 : 100052048X
Total Pages : 206 pages
Book Rating : 4.0/5 (5 download)

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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 and published by CRC Press. This book was released on 2021-12-27 with total page 206 pages. 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

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Author :
Publisher : CRC Press
ISBN 13 : 9781000520514
Total Pages : 200 pages
Book Rating : 4.5/5 (25 download)

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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 and published by CRC Press. This book was released on 2021-12-26 with total page 200 pages. 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

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Author :
Publisher : Springer
ISBN 13 : 3319442546
Total Pages : 134 pages
Book Rating : 4.3/5 (194 download)

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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 and published by Springer. This book was released on 2016-09-22 with total page 134 pages. 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

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Publisher : Springer Nature
ISBN 13 : 9813367105
Total Pages : 315 pages
Book Rating : 4.8/5 (133 download)

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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 and published by Springer Nature. This book was released on 2021-04-12 with total page 315 pages. 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

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Publisher : Springer Nature
ISBN 13 : 9811965811
Total Pages : 512 pages
Book Rating : 4.8/5 (119 download)

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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 and published by Springer Nature. This book was released on 2022-12-27 with total page 512 pages. 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.

Optimization Methods for Structural Engineering

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Publisher : Springer Nature
ISBN 13 : 9819923786
Total Pages : 233 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Optimization Methods for Structural Engineering by : Ishaan R. Kale

Download or read book Optimization Methods for Structural Engineering written by Ishaan R. Kale and published by Springer Nature. This book was released on 2023-06-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of AI-based Metaheuristics

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Publisher : CRC Press
ISBN 13 : 1000434249
Total Pages : 419 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Proceedings of the 2nd International Conference on Data Engineering and Communication Technology

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Publisher : Springer
ISBN 13 : 9811316104
Total Pages : 717 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Proceedings of the 2nd International Conference on Data Engineering and Communication Technology by : Anand J. Kulkarni

Download or read book Proceedings of the 2nd International Conference on Data Engineering and Communication Technology written by Anand J. Kulkarni and published by Springer. This book was released on 2018-10-03 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.

Theoretical, Modelling and Numerical Simulations Toward Industry 4.0

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Publisher : Springer Nature
ISBN 13 : 9811589879
Total Pages : 180 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Theoretical, Modelling and Numerical Simulations Toward Industry 4.0 by : Samsul Ariffin Abdul Karim

Download or read book Theoretical, Modelling and Numerical Simulations Toward Industry 4.0 written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on 2020-11-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.0 (IR 4.0). The topics discussed range from theoretical parts to extensive simulations involving many efficient algorithms as well as various statistical techniques. This book is suitable for postgraduate students, researchers as well as other scientists who are working in mathematics, statistics and numerical modeling and simulation.

Metaheuristics for Enterprise Data Intelligence

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Publisher : CRC Press
ISBN 13 : 1040096476
Total Pages : 159 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Metaheuristics for Enterprise Data Intelligence by : Kaustubh Vaman Sakhare

Download or read book Metaheuristics for Enterprise Data Intelligence written by Kaustubh Vaman Sakhare and published by CRC Press. This book was released on 2024-08-07 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.

Intelligent Systems for Smart Cities

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Publisher : Springer Nature
ISBN 13 : 9819969840
Total Pages : 522 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Systems for Smart Cities by : Anand J. Kulkarni

Download or read book Intelligent Systems for Smart Cities written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2024-01-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.

Handbook of Moth-Flame Optimization Algorithm

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Publisher : CRC Press
ISBN 13 : 1000655601
Total Pages : 347 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Handbook of Moth-Flame Optimization Algorithm by : Seyedali Mirjalili

Download or read book Handbook of Moth-Flame Optimization Algorithm written by Seyedali Mirjalili and published by CRC Press. This book was released on 2022-09-20 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews the literature of the Moth-Flame Optimization algorithm; Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm; Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems; Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm; Introduces several applications areas of the Moth-Flame Optimization algorithm focusing in sustainability.

AI-Based Metaheuristics for Information Security and Digital Media

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Publisher : CRC Press
ISBN 13 : 1000904687
Total Pages : 151 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis AI-Based Metaheuristics for Information Security and Digital Media by : Apoorva S Shastri

Download or read book AI-Based Metaheuristics for Information Security and Digital Media written by Apoorva S Shastri and published by CRC Press. This book was released on 2023-07-06 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Provides interdisciplinary solutions including the fields of steganography, cryptography, artificial intelligence, machine learning, deep learning, computer vision, and metaheuristics algorithms - Includes state-of-the-art research - Provides solutions using detailed figures and plots, illustrative examples, pseudo codes, and simulations

Combinatorial Optimization Under Uncertainty

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Publisher : CRC Press
ISBN 13 : 1000859819
Total Pages : 221 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Combinatorial Optimization Under Uncertainty by : Ritu Arora

Download or read book Combinatorial Optimization Under Uncertainty written by Ritu Arora and published by CRC Press. This book was released on 2023-05-12 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.

Hybrid Genetic Optimization for IC Chips Thermal Control

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Publisher : CRC Press
ISBN 13 : 1000590399
Total Pages : 175 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Hybrid Genetic Optimization for IC Chips Thermal Control by : Mathew V. K.

Download or read book Hybrid Genetic Optimization for IC Chips Thermal Control written by Mathew V. K. and published by CRC Press. This book was released on 2022-06-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes. Key Features: Provides guidance on performance enhancement and reliability of IC chips Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

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Author :
Publisher : Springer Nature
ISBN 13 : 9811577978
Total Pages : 134 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Socio-Inspired Optimization Methods for Advanced Manufacturing Processes by : Apoorva Shastri

Download or read book Socio-Inspired Optimization Methods for Advanced Manufacturing Processes written by Apoorva Shastri and published by Springer Nature. This book was released on 2020-08-11 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimization Methods for Product and System Design

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Publisher : Springer Nature
ISBN 13 : 981991521X
Total Pages : 266 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Optimization Methods for Product and System Design by : Anand J. Kulkarni

Download or read book Optimization Methods for Product and System Design written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2023-06-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.