Biologically Inspired Techniques In Many Criteria Decision Making

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Biologically Inspired Techniques in Many Criteria Decision Making

Author : Satchidananda Dehuri
Publisher : Springer Nature
ISBN 13 : 9811687390
Total Pages : 718 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Biologically Inspired Techniques in Many Criteria Decision Making by : Satchidananda Dehuri

Download or read book Biologically Inspired Techniques in Many Criteria Decision Making written by Satchidananda Dehuri and published by Springer Nature. This book was released on 2022-06-03 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.

Biologically Inspired Techniques in Many-Criteria Decision Making

Author : Satchidananda Dehuri
Publisher : Springer Nature
ISBN 13 : 3030390330
Total Pages : 268 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Biologically Inspired Techniques in Many-Criteria Decision Making by : Satchidananda Dehuri

Download or read book Biologically Inspired Techniques in Many-Criteria Decision Making written by Satchidananda Dehuri and published by Springer Nature. This book was released on 2020-01-21 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

Proceedings of International Conference on Advanced Communications and Machine Intelligence

Author : Rajkumar Buyya
Publisher : Springer Nature
ISBN 13 : 9819927684
Total Pages : 449 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of International Conference on Advanced Communications and Machine Intelligence by : Rajkumar Buyya

Download or read book Proceedings of International Conference on Advanced Communications and Machine Intelligence written by Rajkumar Buyya and published by Springer Nature. This book was released on 2023-07-25 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2022), organised by M.Kumarasamy College of Engineering, Chennai, Tamil Nadu, India, during 9–11 December 2022. The book includes all areas of advanced communications and machine intelligence. The topics covered are network performance analysis, data mining and warehousing, parallel and distributed networks, computational intelligence, smart city applications, big data analytics, Internet of Things networks, information management and wireless sensor networks. The book is useful for academicians, scientists, researchers from industry, research scholars and students working in these areas.

Using Traditional Design Methods to Enhance AI-Driven Decision Making

Author : Nguyen, Tien V. T.
Publisher : IGI Global
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Traditional Design Methods to Enhance AI-Driven Decision Making by : Nguyen, Tien V. T.

Download or read book Using Traditional Design Methods to Enhance AI-Driven Decision Making written by Nguyen, Tien V. T. and published by IGI Global. This book was released on 2024-01-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

Innovations in Bio-Inspired Computing and Applications

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3031274997
Total Pages : 951 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Innovations in Bio-Inspired Computing and Applications by : Ajith Abraham

Download or read book Innovations in Bio-Inspired Computing and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2023-03-27 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 85 high-quality papers from the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022) and 12th World Congress on Information and Communication Technologies (WICT 2022), which was held online during 15–17 December 2022. As a premier conference, IBICA–WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Author : Zhixiang Yin
Publisher : Springer Science & Business Media
ISBN 13 : 3642375022
Total Pages : 1265 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 by : Zhixiang Yin

Download or read book Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 written by Zhixiang Yin and published by Springer Science & Business Media. This book was released on 2013-10-22 with total page 1265 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world’s leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.

Neutrosophic Systems with Applications (NSWA), Vol. 5, 2023

Author : Florentin Smarandache
Publisher : Infinite Study
ISBN 13 :
Total Pages : 61 pages
Book Rating : 4./5 ( download)

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Book Synopsis Neutrosophic Systems with Applications (NSWA), Vol. 5, 2023 by : Florentin Smarandache

Download or read book Neutrosophic Systems with Applications (NSWA), Vol. 5, 2023 written by Florentin Smarandache and published by Infinite Study. This book was released on 2023-09-23 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers on neutrosophic and plithogenic sets, logics, probabilities and statistics, on NeutroAlgebra and AntiAlgebra, NeutroGeometry and AntiGeometry, SuperHyperAlgebra and Neutrosophic SuperHyperAlgebra, etc…

Security and Risk Analysis for Intelligent Cloud Computing

Author : Ajay Kumar
Publisher : CRC Press
ISBN 13 : 1003803695
Total Pages : 368 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Security and Risk Analysis for Intelligent Cloud Computing by : Ajay Kumar

Download or read book Security and Risk Analysis for Intelligent Cloud Computing written by Ajay Kumar and published by CRC Press. This book was released on 2023-12-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.

Artificial Intelligence, Blockchain, Computing and Security Volume 2

Author : Arvind Dagur
Publisher : CRC Press
ISBN 13 : 1003845878
Total Pages : 1009 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence, Blockchain, Computing and Security Volume 2 by : Arvind Dagur

Download or read book Artificial Intelligence, Blockchain, Computing and Security Volume 2 written by Arvind Dagur and published by CRC Press. This book was released on 2023-10-23 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

Author : Panda, Mrutyunjaya
Publisher : IGI Global
ISBN 13 : 1799866610
Total Pages : 392 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science by : Panda, Mrutyunjaya

Download or read book Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science written by Panda, Mrutyunjaya and published by IGI Global. This book was released on 2021-01-08 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.

A Parameter Reduction-Based Decision-Making Method with Interval-Valued Neutrosophic Soft Sets for the Selection of Bionic Thin-Wall Structures

Download A Parameter Reduction-Based Decision-Making Method with Interval-Valued Neutrosophic Soft Sets for the Selection of Bionic Thin-Wall Structures PDF Online Free

Author : Honghao Zhang
Publisher : Infinite Study
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Parameter Reduction-Based Decision-Making Method with Interval-Valued Neutrosophic Soft Sets for the Selection of Bionic Thin-Wall Structures by : Honghao Zhang

Download or read book A Parameter Reduction-Based Decision-Making Method with Interval-Valued Neutrosophic Soft Sets for the Selection of Bionic Thin-Wall Structures written by Honghao Zhang and published by Infinite Study. This book was released on 2024-01-01 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired thin-wall structures with excellent mechanical properties, high-energy absorption capabilities, and a desirable lightweight level have been extensively applied to the passive safety protection of transportation and aerospace. Collaboration matching and the selection of optional structures with different bionic principles considering the multiple attribute evaluation index and engineering preference information have become an urgent problem. This paper proposes a parameter reduction-based indifference threshold-based attribute ratio analysis method under an interval-valued neutrosophic soft set (IVNS-SOFT) to obtain the weight vector of an evaluation indicator system for the selection of bionic thin-wall structures, which can avoid the problem of an inadequate subjective evaluation and reduce redundant parameters. An IVNS-SOFT-based multi-attributive border approximation area comparison (MABAC) method is proposed to obtain an optimal alternative, which can quantify uncertainty explicitly and handle the uncertain and inconsistent information prevalent in the expert system. Subsequently, an application of five bio-inspired thin-wall structures is applied to demonstrate that this proposed method is valid and practical. Comparative analysis, sensitivity analysis, and discussion are conducted in this research. The results show that this study provides an effective tool for the selection of bionic thin-wall structures.

Bio-Inspired Intelligence for Smart Decision-Making

Author : Jaganathan, Ramkumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 355 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Bio-Inspired Intelligence for Smart Decision-Making by : Jaganathan, Ramkumar

Download or read book Bio-Inspired Intelligence for Smart Decision-Making written by Jaganathan, Ramkumar and published by IGI Global. This book was released on 2024-05-14 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Author : Moussa Labbadi
Publisher : Springer Nature
ISBN 13 : 303098737X
Total Pages : 244 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by : Moussa Labbadi

Download or read book Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by Springer Nature. This book was released on 2022-04-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Hybrid Artificial Intelligent Systems

Author : Francisco Martínez-Álvarez
Publisher : Springer
ISBN 13 : 3319320343
Total Pages : 765 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Francisco Martínez-Álvarez

Download or read book Hybrid Artificial Intelligent Systems written by Francisco Martínez-Álvarez and published by Springer. This book was released on 2016-04-14 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, in April 2016. The 63 full papers published in this volume were carefully reviewed and selected from 150 submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems for data mining and applications.

A Generic Hyper Heuristic model using bio inspiration for solving combinatorial optimization problems

Author : Dr Sangeetha muthuraman, Dr V prasannavenkatesan
Publisher : Archers & Elevators Publishing House
ISBN 13 : 8194624576
Total Pages : pages
Book Rating : 4.1/5 (946 download)

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Book Synopsis A Generic Hyper Heuristic model using bio inspiration for solving combinatorial optimization problems by : Dr Sangeetha muthuraman, Dr V prasannavenkatesan

Download or read book A Generic Hyper Heuristic model using bio inspiration for solving combinatorial optimization problems written by Dr Sangeetha muthuraman, Dr V prasannavenkatesan and published by Archers & Elevators Publishing House. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Decision Systems in Large-Scale Distributed Environments

Author : Pascal Bouvry
Publisher : Springer
ISBN 13 : 3642212719
Total Pages : 345 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intelligent Decision Systems in Large-Scale Distributed Environments by : Pascal Bouvry

Download or read book Intelligent Decision Systems in Large-Scale Distributed Environments written by Pascal Bouvry and published by Springer. This book was released on 2011-06-19 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most challenging issues for the intelligent decision systems is to effectively manage the large-scale complex distributed environments such as computational clouds, grids, ad hoc and P2P networks, under the different types of users, their relations, and real-world uncertainties. In this context the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. These administrators conform to different sets of rules and configuration directives, and can impose different usage policies on the system users. Additionally, uncertainties are presented in various types of information that are incomplete, imprecise, fragmentary or overloading, which hinders the full and precise determination of the evaluation criteria, their subsequent and selection, the assignment scores, and eventually the final integrated decision result. This book presents new ideas, analysis, implementations and evaluation of the next generation intelligent techniques for solving complex decision problems in large-scale distributed systems. In 15 chapters several important formulations of the decision problems in heterogeneous environments are identified and a review of the recent approaches, from game theoretical models and computational intelligent techniques, such as genetic, memetic and evolutionary algorithms, to intelligent multi-agent systems and networking are presented. We believe that this volume will serve as a reference for the students, researchers and industry practitioners working in or are interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp key concerns and potential solutions on the selected topics.

Bio-Inspired Collaborative Intelligent Control and Optimization

Author : Yongsheng Ding
Publisher : Springer
ISBN 13 : 9811066892
Total Pages : 474 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Bio-Inspired Collaborative Intelligent Control and Optimization by : Yongsheng Ding

Download or read book Bio-Inspired Collaborative Intelligent Control and Optimization written by Yongsheng Ding and published by Springer. This book was released on 2017-11-06 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.