Metaheuristic And Machine Learning Optimization Strategies For Complex Systems
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Metaheuristic And Machine Learning Optimization Strategies For Complex Systems
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Author : Suchithra M.
language : en
Publisher:
Release Date : 2024
Metaheuristic And Machine Learning Optimization Strategies For Complex Systems written by Suchithra M. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Metaheuristic And Machine Learning Optimization Strategies For Complex Systems
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Author : R., Thanigaivelan
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Metaheuristic And Machine Learning Optimization Strategies For Complex Systems written by R., Thanigaivelan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.
Metaheuristic And Machine Learning Optimization Strategies For Complex
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Author :
language : en
Publisher:
Release Date : 2024
Metaheuristic And Machine Learning Optimization Strategies For Complex written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Metaheuristics Algorithm And Optimization Of Engineering And Complex Systems
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Author : R., Thanigaivelan
language : en
Publisher: IGI Global
Release Date : 2024-07-23
Metaheuristics Algorithm And Optimization Of Engineering And Complex Systems written by R., Thanigaivelan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-23 with Computers categories.
In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization.
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application
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Author : Bouarara, Hadj Ahmed
language : en
Publisher: IGI Global
Release Date : 2024-08-23
Advanced Machine Learning Ai And Cybersecurity In Web3 Theoretical Knowledge And Practical Application written by Bouarara, Hadj Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.
In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.
Ai Methods For Environmental Protection And Resource Conservation
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Author : Ben Ltaifa, Monia
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Ai Methods For Environmental Protection And Resource Conservation written by Ben Ltaifa, Monia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Technology & Engineering categories.
AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world’s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists.
Exploiting Machine Learning For Robust Security
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Author : Minakshi
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Exploiting Machine Learning For Robust Security written by Minakshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers.
Energy Efficient Algorithms And Green Data Centers For Sustainable Computing
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Author : Beslin Pajila, P.J.
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Energy Efficient Algorithms And Green Data Centers For Sustainable Computing written by Beslin Pajila, P.J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs.
Revolutionizing Urban Development And Governance With Emerging Technologies
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Author : Al Maqousi, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Revolutionizing Urban Development And Governance With Emerging Technologies written by Al Maqousi, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Political Science categories.
Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure and data-driven decision-making to the rise of artificial intelligence, blockchain, and the Internet of Things (IoT), these technologies transform how cities are planned, built, and managed. Smart cities now leverage real-time data to optimize traffic flow, reduce energy consumption, enhance public services, and improve citizen engagement. Blockchain enables transparent governance and secure transactions, while AI assists in predictive modeling and urban planning. As these technologies continue to advance, they promise to create more sustainable, efficient, and resilient urban environments, where governance is more responsive, inclusive, and capable. Revolutionizing Urban Development and Governance With Emerging Technologies explores the dynamic and evolving domain of smart cities, with a focus on strategies, initiatives, and methodologies for project assessment. It emphasizes how emerging technologies, such as blockchain and smart contracts, revolutionize urban development by enhancing transparency, efficiency, and trust in urban governance and service delivery. This book covers topics such as digital twins, sensor technology, and smart cities, and is a useful resource for engineers, policymakers, urban developers, academicians, researchers, and environmental scientists.
Ethical Ai Solutions For Addressing Social Media Influence And Hate Speech
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Author : Chakraborty, Swati
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Ethical Ai Solutions For Addressing Social Media Influence And Hate Speech written by Chakraborty, Swati and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Social Science categories.
Social media has revolutionized the way people communicate, connect, and consume information. While social media has numerous benefits, there are also concerns about the negative impact it can have on individuals and society, including the spread of misinformation, polarization, and cyberbullying. The use of ethical AI can help create a positive social media impact by addressing these concerns. However, there have also been instances of interreligious conflict and tension, particularly in recent years, fueled by factors such as political polarization, religious fundamentalism, and socio-economic disparities. In this context, interreligious dialogue and AI application can play a crucial role in countering hate speech and promoting dialogue in multicultural society for peaceful co-existence. Ethical AI Solutions for Addressing Social Media Influence and Hate Speech analyzes the application of ethical AI for creating social media impact and countering hate speech. It provides a comprehensive research methodology that encompasses both qualitative and quantitative studies. Covering topics such as social justice, legal frameworks, and transparency challenges, this book is an excellent resource for religious leaders, educators, policymakers, computer scientists, social workers, professionals, researchers, scholars, academicians, and more.