Constraint Handling In Cohort Intelligence Algorithm

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Constraint Handling in Cohort Intelligence Algorithm

Ishaan R. Kale,Anand J. Kulkarni
Constraint Handling in Cohort Intelligence Algorithm Book PDF

Author : Ishaan R. Kale,Anand J. Kulkarni
Publisher : CRC Press
Page : 206 pages
File Size : 51,9 Mb
Release : 2021-12-27
Category : Business & Economics
ISBN : 9781000520484

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Constraint Handling in Cohort Intelligence Algorithm by Ishaan R. Kale,Anand J. Kulkarni Pdf

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

Ishaan R. Kale,Anand Jayant Kulkarni
Constraint Handling in Cohort Intelligence Algorithm Book PDF

Author : Ishaan R. Kale,Anand Jayant Kulkarni
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2022
Category : Algorithms
ISBN : 1032156570

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Constraint Handling in Cohort Intelligence Algorithm by Ishaan R. Kale,Anand Jayant Kulkarni Pdf

"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

Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham
Cohort Intelligence A Socio inspired Optimization Method Book PDF

Author : Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham
Publisher : Springer
Page : 134 pages
File Size : 48,8 Mb
Release : 2016-09-22
Category : Technology & Engineering
ISBN : 9783319442549

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Cohort Intelligence: A Socio-inspired Optimization Method by Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham Pdf

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

Anand J. Kulkarni,Efrén Mezura-Montes,Yong Wang,Amir H. Gandomi,Ganesh Krishnasamy
Constraint Handling in Metaheuristics and Applications Book PDF

Author : Anand J. Kulkarni,Efrén Mezura-Montes,Yong Wang,Amir H. Gandomi,Ganesh Krishnasamy
Publisher : Springer Nature
Page : 315 pages
File Size : 47,5 Mb
Release : 2021-04-12
Category : Computers
ISBN : 9789813367104

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Constraint Handling in Metaheuristics and Applications by Anand J. Kulkarni,Efrén Mezura-Montes,Yong Wang,Amir H. Gandomi,Ganesh Krishnasamy Pdf

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

Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata
Intelligent Systems and Applications Book PDF

Author : Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata
Publisher : Springer Nature
Page : 512 pages
File Size : 53,7 Mb
Release : 2022-12-27
Category : Technology & Engineering
ISBN : 9789811965814

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Intelligent Systems and Applications by Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata Pdf

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

Ishaan R. Kale,Ali Sadollah
Optimization Methods for Structural Engineering Book PDF

Author : Ishaan R. Kale,Ali Sadollah
Publisher : Springer Nature
Page : 233 pages
File Size : 43,8 Mb
Release : 2023-06-06
Category : Computers
ISBN : 9789819923786

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Optimization Methods for Structural Engineering by Ishaan R. Kale,Ali Sadollah Pdf

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

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 419 pages
File Size : 45,6 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434248

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

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

Anand J. Kulkarni,Suresh Chandra Satapathy,Tai Kang,Ali Husseinzadeh Kashan
Proceedings of the 2nd International Conference on Data Engineering and Communication Technology Book PDF

Author : Anand J. Kulkarni,Suresh Chandra Satapathy,Tai Kang,Ali Husseinzadeh Kashan
Publisher : Springer
Page : 717 pages
File Size : 48,5 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9789811316104

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Proceedings of the 2nd International Conference on Data Engineering and Communication Technology by Anand J. Kulkarni,Suresh Chandra Satapathy,Tai Kang,Ali Husseinzadeh Kashan Pdf

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

Samsul Ariffin Abdul Karim
Theoretical Modelling and Numerical Simulations Toward Industry 4 0 Book PDF

Author : Samsul Ariffin Abdul Karim
Publisher : Springer Nature
Page : 180 pages
File Size : 50,7 Mb
Release : 2020-11-17
Category : Technology & Engineering
ISBN : 9789811589874

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Theoretical, Modelling and Numerical Simulations Toward Industry 4.0 by Samsul Ariffin Abdul Karim Pdf

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

Kaustubh Vaman Sakhare,Vibha Vyas,Apoorva S Shastri
Metaheuristics for Enterprise Data Intelligence Book PDF

Author : Kaustubh Vaman Sakhare,Vibha Vyas,Apoorva S Shastri
Publisher : CRC Press
Page : 159 pages
File Size : 51,8 Mb
Release : 2024-08-07
Category : Computers
ISBN : 9781040096475

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Metaheuristics for Enterprise Data Intelligence by Kaustubh Vaman Sakhare,Vibha Vyas,Apoorva S Shastri Pdf

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

Anand J. Kulkarni,Naoufel Cheikhrouhou
Intelligent Systems for Smart Cities Book PDF

Author : Anand J. Kulkarni,Naoufel Cheikhrouhou
Publisher : Springer Nature
Page : 522 pages
File Size : 54,9 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9789819969845

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Intelligent Systems for Smart Cities by Anand J. Kulkarni,Naoufel Cheikhrouhou Pdf

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

Seyedali Mirjalili
Handbook of Moth Flame Optimization Algorithm Book PDF

Author : Seyedali Mirjalili
Publisher : CRC Press
Page : 347 pages
File Size : 40,5 Mb
Release : 2022-09-20
Category : Computers
ISBN : 9781000655605

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Handbook of Moth-Flame Optimization Algorithm by Seyedali Mirjalili Pdf

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

Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry
AI Based Metaheuristics for Information Security and Digital Media Book PDF

Author : Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 151 pages
File Size : 49,6 Mb
Release : 2023-07-06
Category : Computers
ISBN : 9781000904680

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AI-Based Metaheuristics for Information Security and Digital Media by Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry Pdf

- 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

Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry
Combinatorial Optimization Under Uncertainty Book PDF

Author : Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 221 pages
File Size : 55,8 Mb
Release : 2023-05-12
Category : Business & Economics
ISBN : 9781000859812

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Combinatorial Optimization Under Uncertainty by Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry Pdf

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

Mathew V. K.,Tapano Kumar Hotta
Hybrid Genetic Optimization for IC Chips Thermal Control Book PDF

Author : Mathew V. K.,Tapano Kumar Hotta
Publisher : CRC Press
Page : 175 pages
File Size : 44,8 Mb
Release : 2022-06-07
Category : Computers
ISBN : 9781000590395

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Hybrid Genetic Optimization for IC Chips Thermal Control by Mathew V. K.,Tapano Kumar Hotta Pdf

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