Explainable Ai For Evolutionary Computation
DOWNLOAD
Download Explainable Ai For Evolutionary Computation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Explainable Ai For Evolutionary Computation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Explainable Ai For Evolutionary Computation
DOWNLOAD
Author : Niki van Stein
language : en
Publisher: Springer Nature
Release Date : 2025-05-02
Explainable Ai For Evolutionary Computation written by Niki van Stein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.
This book explores the intersection between explainable artificial intelligence (XAI) and evolutionary computation (EC). In recent years, the fields of XAI and EC have emerged as vital areas of study within the broader domain of artificial intelligence and computational intelligence. XAI seeks to address the pressing demand for transparency and interpretability in AI systems, enabling their decision-making processes to be scrutinised and trusted. Meanwhile, EC offers robust solutions to complex optimisation problems across diverse and challenging domains, drawing upon the principles of natural evolution. While each field has made significant contributions independently, their intersection remains an underexplored area rich with transformative potential. This book charts a path towards advancing computational systems that are transparent, reliable, and ethically sound. It aims to bridge the gap between XAI and EC by presenting a comprehensive exploration of methodologies, applications and case studies that highlight the synergies between these fields. This book will serve as both a resource and an inspiration, encouraging researchers and practitioners within XAI and EC, as well as those from adjacent disciplines, to collaborate and drive the development of intelligent computational systems that are not only powerful but also inherently trustworthy.
Applications Of Evolutionary Computation
DOWNLOAD
Author : Pablo García-Sánchez
language : en
Publisher: Springer Nature
Release Date : 2025-04-23
Applications Of Evolutionary Computation written by Pablo García-Sánchez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Computers categories.
This two-volume set, LNCS 15612 and 15613 constitutes the refereed proceedings of the 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025, in Trieste, Italy, during April 23–25, 2025, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 50 full papers and 18 short papers presented in this book were carefully reviewed and selected from 104 submissions. These papers have been organized in the following topical sections: Part I: EvoApplications. Part II: Evolutionary machine learning; 30 years of particle swarm optimisation; Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications; Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems; Computational Intelligence for Sustainability; EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs); Evolutionary Computation in Edge, Fog, and Cloud Computing; Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition; Machine Learning and AI in Digital Healthcare and Personalized Medicine; Soft Computing Applied to Games.
Applications Of Evolutionary Computation
DOWNLOAD
Author : Stephen Smith
language : en
Publisher: Springer Nature
Release Date : 2024-03-20
Applications Of Evolutionary Computation written by Stephen Smith and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Computers categories.
The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections: applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation.
Explainable Artificial Intelligence
DOWNLOAD
Author : Luca Longo
language : en
Publisher: Springer Nature
Release Date : 2024-07-09
Explainable Artificial Intelligence written by Luca Longo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-09 with Computers categories.
This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.
Adaptive Intelligence Evolutionary Computation For Nextgen Ai
DOWNLOAD
Author : Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur
language : en
Publisher: Notion Press
Release Date : 2025-01-25
Adaptive Intelligence Evolutionary Computation For Nextgen Ai written by Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-25 with Computers categories.
The book is about use of Generative AI in Evolutionary Computation and has the potential for positive impact and global implications in Adaptive control systems (ACS) are complicated and might have trouble keeping up with fast changes, but they improve performance by responding to input and system changes in realtime, which has benefits including automated adjustment and cost savings. Neural networks have great promise for improving AI capabilities and efficiency; they analyze input through interconnected nodes to accomplish tasks like voice and picture recognition, replicating the human brain.
Python Based Evolutionary Algorithms For Engineers
DOWNLOAD
Author : Pankaj Jayaraman
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Python Based Evolutionary Algorithms For Engineers written by Pankaj Jayaraman and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Python-Based Evolutionary Algorithms for Engineers" is a comprehensive guide designed to empower engineers with the knowledge and skills needed to harness the power of evolutionary algorithms in optimization tasks. We seamlessly integrate theoretical foundations with hands-on implementation, making it accessible to both beginners and seasoned practitioners. Starting with fundamental concepts, we progress to a dedicated exploration of Differential Evolution, a versatile optimization technique, with a strong emphasis on practical Python implementations. Readers will delve into the intricacies of multi-objective optimization and discover the myriad applications of evolutionary algorithms across diverse engineering domains. Our book stands out by offering a hands-on approach, allowing readers to translate theoretical concepts into practical applications using Python. We provide clear explanations and real-world examples that equip engineers to implement and adapt powerful optimization techniques. We also explore multi-objective optimization, demonstrating the versatility of evolutionary algorithms in addressing complex engineering challenges. With a strong emphasis on applicability, our book serves as a guide for both newcomers and experienced practitioners, offering a pathway to proficiently leverage evolutionary algorithms for enhanced problem-solving and innovation in engineering projects.
Explainable Fuzzy Systems
DOWNLOAD
Author : Jose Maria Alonso Moral
language : en
Publisher: Springer Nature
Release Date : 2021-04-07
Explainable Fuzzy Systems written by Jose Maria Alonso Moral and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Technology & Engineering categories.
The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.
Explainable Artificial Intelligence For Intelligent Transportation Systems
DOWNLOAD
Author : Amina Adadi
language : en
Publisher: CRC Press
Release Date : 2023-10-20
Explainable Artificial Intelligence For Intelligent Transportation Systems written by Amina Adadi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-20 with Technology & Engineering categories.
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems
Artificial Intelligence And Edge Computing For Sustainable Ocean Health
DOWNLOAD
Author : Debashis De
language : en
Publisher: Springer Nature
Release Date : 2024-09-11
Artificial Intelligence And Edge Computing For Sustainable Ocean Health written by Debashis De and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Mathematics categories.
Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book’s journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed. The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.
Genetic Programming
DOWNLOAD
Author : Mario Giacobini
language : en
Publisher: Springer Nature
Release Date : 2024-03-28
Genetic Programming written by Mario Giacobini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Computers categories.
This book constitutes the refereed proceedings of the 27th European Conference on Genetic Programming, EuroGP 2024, held in Aberystwyth, UK, April 3–5, 2024 and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 13 papers (9 selected for long presentation and 4 for short presentation) collected in this book were carefully reviewed and selected from 24 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms, as well as exploring GP applications to the optimization of machine learning methods and the evolution of control policies.