The Utilization Of The Ant Colony Optimization Technique As An Efficient Solution To The Task Scheduling Problem In Heterogeneous Multiprocessor Computing Environments
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The Utilization Of The Ant Colony Optimization Technique As An Efficient Solution To The Task Scheduling Problem In Heterogeneous Multiprocessor Computing Environments
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Author : Nekiesha Shantelle Edward
language : en
Publisher:
Release Date : 2016
The Utilization Of The Ant Colony Optimization Technique As An Efficient Solution To The Task Scheduling Problem In Heterogeneous Multiprocessor Computing Environments written by Nekiesha Shantelle Edward and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Algorithms categories.
Proceedings Of The Third International Conference On Soft Computing For Problem Solving
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Author : Millie Pant
language : en
Publisher: Springer
Release Date : 2014-07-08
Proceedings Of The Third International Conference On Soft Computing For Problem Solving written by Millie Pant and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Technology & Engineering categories.
The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects of Soft Computing, an umbrella term for techniques like fuzzy logic, neural networks and evolutionary algorithms, swarm intelligence algorithms etc. This book will be beneficial for the young as well as experienced researchers dealing with complex and intricate real world problems for which finding a solution by traditional methods is very difficult. The different areas covered in the proceedings are: Image Processing, Cryptanalysis, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Optimization, Problems related to Medical and Health Care, Networking etc.
Big Data Analytics
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Author : V. B. Aggarwal
language : en
Publisher: Springer
Release Date : 2017-10-03
Big Data Analytics written by V. B. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Computers categories.
This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.
Advancements In Science And Technology For Healthcare Agriculture And Environmental Sustainability
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Author : Dimitrios A Karras
language : en
Publisher: CRC Press
Release Date : 2024-06-13
Advancements In Science And Technology For Healthcare Agriculture And Environmental Sustainability written by Dimitrios A Karras and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Computers categories.
This book is the collection of selected articles that appeared at the First International Analytics Conference 2023 held in Hyderabad in virtual mode on February 2nd the 3rd 2023. This informative volume offers a window into recent breakthroughs shaping healthcare, agriculture, and environmental sustainability. It showcases the cutting-edge developments in these essential fields. Explore the progress in healthcare, from personalized medicine to telemedicine and innovative treatments, demonstrating how technology is enhancing patient care and transforming global health. Dive into the agricultural sector, where precision farming, genetic engineering, and sustainable practices are revolutionizing food production. Science and innovation play a key role in building a more resilient and food-secure future.
Ant Colony Optimization Algorithm For Load Balancing In Grid Computing Uum Press
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Author : Ku Ruhana Ku Mahamud
language : en
Publisher: UUM Press
Release Date : 2012-01-01
Ant Colony Optimization Algorithm For Load Balancing In Grid Computing Uum Press written by Ku Ruhana Ku Mahamud and has been published by UUM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with Computers categories.
Managing resources in grid computing system is complicated due to the distributed and heterogeneous nature of the resources. This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. The proposed algorithm is known as the enhance Ant Colony Optimization (EACO). The algorithm consists of three new mechanisms that organize the work of an ant colony i.e. initial pheromone value mechanism, resource selection mechanism and pheromone update mechanism. The resource allocation problem is modelled as a graph that can be used by the ant to deliver its pheromone. This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element. The proposed EACO algorithm takes into consideration the capacity of resources and the characteristics of jobs in determining the best resource to process a job. EACO selects the resources based on the pheromone value on each resource which is recorded in a matrix form. The initial pheromone value of each resource for each job is calculated based on the estimated transmission time and execution time of a given job. Resources with high pheromone value are selected to process the submitted jobs. Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization. Experimental results show that EACO produced better grid resource management solution.
Using Simulated Annealing And Ant Colony Optimization Algorithms To Solve The Scheduling Problem
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Author : Nader Chmeit
language : en
Publisher:
Release Date : 2012
Using Simulated Annealing And Ant Colony Optimization Algorithms To Solve The Scheduling Problem written by Nader Chmeit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computational techniques categories.
The scheduling problem is one of the most challenging problems faced in many different areas of everyday life. This problem can be formulated as a combinatorial optimization problem, and it has been solved with various methods using heuristics and intelligent algorithms. We present in this research an efficient solution to the scheduling problem using two different heuristics namely Simulated Annealing and Ant Colony Optimization. A study comparing the performances of both solutions is described and the results are analyzed.
Ant Colony Optimization Algorithms
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-01
Ant Colony Optimization Algorithms written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-01 with Computers categories.
What Is Ant Colony Optimization Algorithms The Ant Colony Optimization Algorithm, also known as ACO, is a probabilistic technique for addressing computational problems in the fields of computer science and operations research. These problems can be boiled down to the task of finding good paths through graphs. The behavior of natural ants served as inspiration for the development of multi-agent systems, which are represented by artificial ants. The communication of biological ants through the use of pheromones is frequently the major paradigm that is adopted. Combinations of artificial ants and local search algorithms have become the technique of choice for several optimization tasks involving some kind of graph, such as internet routing and vehicle routing. This is because these combinations are able to find optimal solutions more quickly than traditional methods. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Ant colony optimization algorithms Chapter 2: Job-shop scheduling Chapter 3: Open-shop scheduling Chapter 4: Quadratic assignment problem Chapter 5: Generalized assignment problem Chapter 6: Set cover problem Chapter 7: Partition problem Chapter 8: Bankruptcy prediction Chapter 9: Protein-protein interaction Chapter 10: Protein folding (II) Answering the public top questions about ant colony optimization algorithms. (III) Real world examples for the usage of ant colony optimization algorithms in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of ant colony optimization algorithms. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Ant Colony Optimisation Applied To Job Shop Scheduling Problem
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Author :
language : en
Publisher:
Release Date :
Ant Colony Optimisation Applied To Job Shop Scheduling Problem written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The problem of efficiently scheduling production jobs on several machines is an important consideration when attempting to make effective use of a multimachines system such as a flexible job shop scheduling production system (FJSP). In most of its practical formulations, the FJSP is known to be NP-hard, so exact solution methods are unfeasible for most problem instances and heuristic approaches must therefore be employed to find good solutions with reasonable search time. In this paper, two closely related approaches to the resolution of the flexible job shop scheduling production system are described. These approaches combine the Ant system optimisation meta-heuristic (AS) with local search methods, including tabu search. The efficiency of the developed method is compared with others.
Parallelizing Ant Colony Optimization Via Area Of Expertise Learning
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Author : Adrian A. De Freitas
language : en
Publisher:
Release Date : 2007
Parallelizing Ant Colony Optimization Via Area Of Expertise Learning written by Adrian A. De Freitas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematical optimization categories.
The Application Of Ant Colony Optimization
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Author : Ali Soofastaei
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-05-11
The Application Of Ant Colony Optimization written by Ali Soofastaei and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Computers categories.
The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-based metaheuristic models, which can quickly generate a solution with acceptable quality. Ant Colony Optimization (ACO) is one the most critical and widely used models among heuristics and meta-heuristics. This book discusses ACO applications in Hybrid Electric Vehicles (HEVs), multi-robot systems, wireless multi-hop networks, and preventive, predictive maintenance.