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Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches


Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches
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Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches


Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches
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Author : Jiuping Xu
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-22

Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches written by Jiuping Xu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Business & Economics categories.


This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.



Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches


Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches
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Author :
language : en
Publisher:
Release Date : 2023

Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with BUSINESS & ECONOMICS categories.


This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.



Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches


Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches
DOWNLOAD
Author : Jiuping Xu
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-22

Sustainable Logistics Systems Using Ai Based Meta Heuristics Approaches written by Jiuping Xu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Business & Economics categories.


This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.



Innovative Trends Shaping Food Marketing And Consumption


Innovative Trends Shaping Food Marketing And Consumption
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Author : Hussain, Zahid
language : en
Publisher: IGI Global
Release Date : 2025-01-23

Innovative Trends Shaping Food Marketing And Consumption written by Hussain, Zahid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Business & Economics categories.


The food industry has recently witnessed large strides in food marketing innovation, driven by evolving consumer preferences, technological advancements, and a focus on sustainability. As health-conscious and environmentally aware consumers demand more from brands, food marketing and consumption are being reshaped by trends like personalized nutrition, plant-based alternatives, and digital engagement through social media and e-commerce platforms. The rise of data-driven insights enables brands to customize their marketing messages, while the growing emphasis on transparency encourages companies to rethink their branding and packaging. Further exploration into these innovations will transform how food is marketed, produced, consumed, and experienced. Innovative Trends Shaping Food Marketing and Consumption examines the sociocultural, economic, and symbolic factors that craft consumer’s food experiences and wellbeing. It explores the transformative practices redefining global food marketing and consumption patterns. This book covers topics such as digital technology, social media, and waste management, and is a useful resource for business owners, marketers, economists, academicians, scientists, and researchers.



Handbook Of Ai Based Metaheuristics


Handbook Of Ai Based Metaheuristics
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Author : Anand J. Kulkarni
language : en
Publisher: CRC Press
Release Date : 2021-09-01

Handbook Of Ai Based Metaheuristics written by Anand J. Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.


At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.



Metaheuristics


Metaheuristics
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Author : El-Ghazali Talbi
language : en
Publisher: John Wiley & Sons
Release Date : 2009-05-27

Metaheuristics written by El-Ghazali Talbi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-27 with Computers categories.


A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.



Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance


Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance
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Author : Pandian Vasant
language : en
Publisher:
Release Date : 2013-01-01

Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance written by Pandian Vasant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-01 with Heuristic algorithms categories.


"This book explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications"--



Meta Heuristics


Meta Heuristics
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Author : Ibrahim H. Osman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Meta Heuristics written by Ibrahim H. Osman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.



Handbook Of Research On Artificial Intelligence Techniques And Algorithms


Handbook Of Research On Artificial Intelligence Techniques And Algorithms
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Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2014-11-30

Handbook Of Research On Artificial Intelligence Techniques And Algorithms written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Computers categories.


For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.



An Introduction To Metaheuristics For Optimization


An Introduction To Metaheuristics For Optimization
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Author : Bastien Chopard
language : en
Publisher: Springer
Release Date : 2018-11-02

An Introduction To Metaheuristics For Optimization written by Bastien Chopard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-02 with Computers categories.


The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.