Biologically Inspired Techniques In Many Criteria Decision Making

Author : Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho
Publisher : Springer Nature
Page : 718 pages
File Size : 46,7 Mb
Release : 2022-06-03
Category : Technology & Engineering
ISBN : 9789811687396

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Biologically Inspired Techniques in Many Criteria Decision Making by Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho Pdf

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.

Author : Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho,Margarita N. Favorskaya
Publisher : Springer Nature
Page : 268 pages
File Size : 49,6 Mb
Release : 2020-01-21
Category : Technology & Engineering
ISBN : 9783030390334

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Biologically Inspired Techniques in Many-Criteria Decision Making by Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho,Margarita N. Favorskaya Pdf

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.

Author : Rajkumar Buyya,Sudip Misra,Yiu-Wing Leung,Ayan Mondal
Publisher : Springer Nature
Page : 449 pages
File Size : 47,7 Mb
Release : 2023-07-25
Category : Technology & Engineering
ISBN : 9789819927685

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Proceedings of International Conference on Advanced Communications and Machine Intelligence by Rajkumar Buyya,Sudip Misra,Yiu-Wing Leung,Ayan Mondal Pdf

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.

Author : Nguyen, Tien V. T.,Vo, Nhut T. M.
Publisher : IGI Global
Page : 528 pages
File Size : 43,6 Mb
Release : 2024-01-10
Category : Computers
ISBN : 9798369306406

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Using Traditional Design Methods to Enhance AI-Driven Decision Making by Nguyen, Tien V. T.,Vo, Nhut T. M. Pdf

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.

Author : Ajith Abraham,Anu Bajaj,Niketa Gandhi,Ana Maria Madureira,Cengiz Kahraman
Publisher : Springer Nature
Page : 951 pages
File Size : 40,6 Mb
Release : 2023-03-27
Category : Technology & Engineering
ISBN : 9783031274992

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Innovations in Bio-Inspired Computing and Applications by Ajith Abraham,Anu Bajaj,Niketa Gandhi,Ana Maria Madureira,Cengiz Kahraman Pdf

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.

Author : Zhixiang Yin,Linqiang Pan,Xianwen Fang
Publisher : Springer Science & Business Media
Page : 1265 pages
File Size : 40,8 Mb
Release : 2013-10-22
Category : Computers
ISBN : 9783642375026

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Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 by Zhixiang Yin,Linqiang Pan,Xianwen Fang Pdf

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.

Author : Florentin Smarandache,Mohamed Abdel-Basset,Said Broumi
Publisher : Infinite Study
Page : 61 pages
File Size : 43,9 Mb
Release : 2023-09-23
Category : Antiques & Collectibles
ISBN : 8210379456XXX

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Neutrosophic Systems with Applications (NSWA), Vol. 5, 2023 by Florentin Smarandache,Mohamed Abdel-Basset,Said Broumi Pdf

Papers on neutrosophic and plithogenic sets, logics, probabilities and statistics, on NeutroAlgebra and AntiAlgebra, NeutroGeometry and AntiGeometry, SuperHyperAlgebra and Neutrosophic SuperHyperAlgebra, etc…

Author : Ajay Kumar,Sangeeta Rani,Sarita Rathee,Surbhi Bhatia
Publisher : CRC Press
Page : 368 pages
File Size : 49,8 Mb
Release : 2023-12-19
Category : Computers
ISBN : 9781003803690

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Security and Risk Analysis for Intelligent Cloud Computing by Ajay Kumar,Sangeeta Rani,Sarita Rathee,Surbhi Bhatia Pdf

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.

Author : Arvind Dagur,Karan Singh,Pawan Singh Mehra,Dhirendra Kumar Shukla
Publisher : CRC Press
Page : 1009 pages
File Size : 52,7 Mb
Release : 2023-10-23
Category : Computers
ISBN : 9781003845874

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Artificial Intelligence, Blockchain, Computing and Security Volume 2 by Arvind Dagur,Karan Singh,Pawan Singh Mehra,Dhirendra Kumar Shukla Pdf

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.

Author : Panda, Mrutyunjaya,Misra, Harekrishna
Publisher : IGI Global
Page : 392 pages
File Size : 52,6 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799866619

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science by Panda, Mrutyunjaya,Misra, Harekrishna Pdf

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.

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 355 pages
File Size : 51,9 Mb
Release : 2024-05-14
Category : Business & Economics
ISBN : 9798369352779

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Bio-Inspired Intelligence for Smart Decision-Making by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

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.

Author : Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui
Publisher : Springer Nature
Page : 244 pages
File Size : 44,6 Mb
Release : 2022-04-14
Category : Technology & Engineering
ISBN : 9783030987374

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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems by Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui Pdf

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.

Author : Francisco Martínez-Álvarez,Alicia Troncoso,Héctor Quintián,Emilio Corchado
Publisher : Springer
Page : 765 pages
File Size : 47,9 Mb
Release : 2016-04-14
Category : Computers
ISBN : 9783319320342

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Hybrid Artificial Intelligent Systems by Francisco Martínez-Álvarez,Alicia Troncoso,Héctor Quintián,Emilio Corchado Pdf

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.

Author : Dr Sangeetha muthuraman, Dr V prasannavenkatesan
Publisher : Archers & Elevators Publishing House
Page : 128 pages
File Size : 52,5 Mb
Release : 2024-06-01
Category : Antiques & Collectibles
ISBN : 9788194624578

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

Author : Pascal Bouvry,Horacio González-Vélez,Joanna Kołodziej
Publisher : Springer
Page : 345 pages
File Size : 54,9 Mb
Release : 2011-06-19
Category : Technology & Engineering
ISBN : 9783642212710

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Intelligent Decision Systems in Large-Scale Distributed Environments by Pascal Bouvry,Horacio González-Vélez,Joanna Kołodziej Pdf

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.