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  • Intelligent Computing and Optimization for Sustainable Development
    Intelligent Computing and Optimization for Sustainable Development

    This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development.It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare.It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems.Features: • Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries. • Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions. • Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems. • Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field.This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.

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  • Handbook of Sustainable Materials: Modelling, Characterization, and Optimization
    Handbook of Sustainable Materials: Modelling, Characterization, and Optimization

    Handbook of Sustainable Materials presents recent developments in sustainable materials and how these materials interact with the environment.It highlights the recent advancements involved in proper utilization of sustainable materials, including chemical and biological approaches.With chapters written by global experts, the book offers a guide and insights into sustainable materials from a variety of engineering disciplines.Each chapter provides in-depth technical information on the sustainable materials theory and explores synthesis strategies, green materials, and artificial intelligence.The book considers applications in sectors such as aerospace, automobile, and biomedical for rapid prototyping and customized production without negative environmental impacts.It features research outcomes and case studies of optimization and modeling techniques in practice. Features: Presents recent developments in sustainable materials from various engineering fields and industry applications. Emphasizes analytical strategies, computational, and simulation approaches develop innovative sustainable materials. Discusses an artificial intelligence approach, rapid prototyping, and customized production. This book is designed for researchers and professionals working with sustainable materials, clean manufacturing, and environmental impacts.

    Price: 56.99 £ | Shipping*: 0.00 £
  • Soft Computing and Optimization Techniques for Sustainable Agriculture
    Soft Computing and Optimization Techniques for Sustainable Agriculture

    This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture.A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.

    Price: 130.50 £ | Shipping*: 0.00 £
  • Cloud and Fog Optimization-based Solutions for Sustainable Developments
    Cloud and Fog Optimization-based Solutions for Sustainable Developments

    Cloud and Fog Optimization-based Solutions for Sustainable Developments discusses the integration of fog computing and the Internet of Things to provide scalable, secure, and cost-effective digital infrastructures for smart services in diverse domains:Highlights resource management solutions for the Internet of Things devices in fog computing architecturesDiscusses waste management using cloud and fog computing for sustainable development, and optimization of the Internet of Things in fog computing for fault toleranceCovers smart surveillance and monitoring using cloud and fog computing, and energy-efficient smart healthcareExplains energy-efficient frameworks for cloud-fog environments for sustainable development, and smart grid infrastructure using cloud and fog computingPresents the management of metropolitan mobility for public transport and smart vehicles with cloud and fog computingThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

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  • What is price optimization?

    Price optimization is the process of using data and analytics to determine the most effective pricing strategy for a product or service. It involves analyzing factors such as market demand, competitor pricing, and customer behavior to set prices that maximize revenue and profit. By continuously adjusting prices based on these insights, businesses can find the optimal balance between attracting customers and maximizing profitability. Price optimization helps businesses stay competitive in the market and adapt to changing conditions to achieve their financial goals.

  • What is linear optimization?

    Linear optimization, also known as linear programming, is a mathematical method for determining the best outcome in a given mathematical model for a given set of requirements. It involves maximizing or minimizing a linear objective function, subject to a set of linear equality and inequality constraints. Linear optimization is widely used in various fields such as economics, engineering, and business to optimize resource allocation, production planning, and decision-making processes. It provides a systematic and efficient approach to solving complex problems with multiple variables and constraints.

  • What is upstream optimization?

    Upstream optimization refers to the process of identifying and addressing issues at the beginning of a production or supply chain to improve overall efficiency and effectiveness. By focusing on optimizing processes, materials, and resources at the upstream stage, companies can prevent problems from occurring downstream, leading to cost savings, improved quality, and increased productivity. This proactive approach helps organizations streamline their operations and enhance their competitive advantage in the market.

  • Is map optimization harmful?

    No, map optimization is not harmful. In fact, it is beneficial for improving the user experience, reducing load times, and increasing website performance. Properly optimizing maps can help websites load faster and provide a better overall experience for users.

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  • Handbook of Intelligent Computing and Optimization for Sustainable Development
    Handbook of Intelligent Computing and Optimization for Sustainable Development

    HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries.Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence.In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort.Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants.As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently.Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions.The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies.It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare.Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

    Price: 271.95 £ | Shipping*: 0.00 £
  • Modeling and Optimization in Green Logistics
    Modeling and Optimization in Green Logistics

    This book presents recent work that analyzes general issues of green logistics and smart cities.The contributed chapters consider operating models with important ecological, economic, and social objectives. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

    Price: 119.99 £ | Shipping*: 0.00 £
  • Bayesian Optimization
    Bayesian Optimization

    Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond.This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way.This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations.The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies.Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.

    Price: 44.99 £ | Shipping*: 0.00 £
  • Numerical Optimization
    Numerical Optimization

    Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout.There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience.It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business.It also serves as a handbook for researchers and practitioners in the field.The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side. There is a selected solutions manual for instructors for the new edition.

    Price: 44.99 £ | Shipping*: 0.00 £
  • What is mathematical optimization?

    Mathematical optimization is the process of finding the best solution to a problem from a set of possible solutions. It involves maximizing or minimizing a certain objective function while satisfying a set of constraints. This can be applied to a wide range of fields, including engineering, economics, and computer science, to help make better decisions and improve efficiency. Optimization problems can be solved using various mathematical techniques such as linear programming, nonlinear programming, and integer programming.

  • What is optimization 3?

    Optimization 3 refers to the process of maximizing or improving the efficiency and effectiveness of a system, process, or strategy. It involves identifying areas for improvement, setting specific goals, and implementing changes to achieve the best possible outcome. Optimization 3 often involves using data analysis, mathematical modeling, and advanced algorithms to make informed decisions and drive continuous improvement. This approach is commonly used in various fields such as engineering, business, and technology to enhance performance and achieve better results.

  • Is organic sustainable?

    Organic farming practices can be more sustainable than conventional methods in terms of reducing chemical inputs, promoting biodiversity, and improving soil health. However, there are challenges to the scalability and efficiency of organic farming, which can impact its overall sustainability. For example, organic farming typically requires more land and labor to produce the same amount of food as conventional methods, which can limit its ability to meet global food demand. Additionally, the transportation and distribution of organic products can have a higher environmental impact due to their shorter shelf life and the need for refrigeration. Overall, while organic farming has many sustainable benefits, there are also limitations to its long-term sustainability on a large scale.

  • What does self-optimization mean?

    Self-optimization refers to the process of improving oneself in various aspects such as physical, mental, emotional, and spiritual well-being. It involves setting personal goals, identifying areas for improvement, and taking deliberate actions to enhance one's overall quality of life. Self-optimization also involves self-reflection, self-awareness, and continuous learning to achieve personal growth and fulfillment. It is a proactive approach to self-improvement and self-care, aiming to maximize one's potential and live a more balanced and fulfilling life.

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