Optimization Of Simultaneous Scheduling For Machines And Automated Guided Vehicles Using Fuzzy Genetic Algorithm

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Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm

Author : Mostafa Badakhshian
Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.:/5 (975 download)

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Book Synopsis Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm by : Mostafa Badakhshian

Download or read book Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm written by Mostafa Badakhshian and published by . This book was released on 2009 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flexible manufacturing system (FMS) has been introduced by the researchers as an integrated manufacturing environment. Automated guided vehicles (AGVs) introduced as the main tool of material handling systems in FMS. While the scheduling of AGVs and machines are highly related; simultaneous scheduling of machines and AGVs has been proposed in the literature. Genetic algorithm (GA) proposed as a robust tool for optimization of scheduling problems. Setting the proper crossover and mutation rates are of vital importance for the performance of the GA. Fuzzy logic controllers (FLCs) have been used in the literature to control key parameters of the GA which is addressed as fuzzy GA (FGA). A new application of FGA method in simultaneous scheduling of AGVs and machines is presented. The general GA is modified for the aforementioned application; more over an FLC is developed to control mutation and crossover rates of the GA. The objective of proposed FGA method is to minimize the makespan, production completion time of all jobs that they are produced simultaneously. An optimal sequence of operations is obtained by GA. There is a heuristic algorithm to assign the AGVs to the operations. As the main findings, the performance of GA in simultaneous scheduling of AGVs and machines is enhanced by using proposed method, furthermore a new mutation operator has been proposed. Several experiments have been done to the proposed test cases. The results showed that tournament selection scheme may outperform roulette wheel in this problem. Various combinations of population size and number of generations are compared to each other in terms of their objective function. In large scale problems FGA method may outperforms GA method, while in small and medium problems they have the same performance. The fluctuation of obtained makespan in FGA method is less than GA method which means that it is more probable to find a better solution by FGA rather than GA.

Dynamic Scheduling and Sequencing of Machines and Automated Guided Vehicles Using Genetic Algorithms

Author : Amirabbas Tabatabaei
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Dynamic Scheduling and Sequencing of Machines and Automated Guided Vehicles Using Genetic Algorithms by : Amirabbas Tabatabaei

Download or read book Dynamic Scheduling and Sequencing of Machines and Automated Guided Vehicles Using Genetic Algorithms written by Amirabbas Tabatabaei and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling of machines has been interested in flexible manufacturing systems due to the flexibility and simultaneous task process capability of such production systems. Advanced material handling systems such as automated guided vehicles are being used in flexible manufacturing systems. Automated guided vehicles are flexible and easy to utilize in flexible manufacturing systems. Therefore, dynamic simultaneous scheduling and sequencing of flexible manufacturing systems and automated guided vehicles, are considered as the main focus of this study. Scheduling of machines and automated guided vehicles, if considered separately, are NP-Hard problems. Similarly, simultaneous scheduling of machines and automated vehicles are NP-Hard. Although there are some studies on static scheduling of machines and vehicles, dynamic scheduling has not been studied thoroughly in the literature. Population based search algorithms have been used to solve complex problems and in order to find solution sets. In this study, a genetic algorithm is designed to propose solutions for simultaneous scheduling and sequencing of machines and automated guided vehicles in flexible manufacturing systems environments in dynamic situation. In order to assist designers of manufacturing systems, two design variables were added to mathematical model presented in this study. These two design variables were battery charge capacity and number of active automated guided vehicles in the system. A specific time frame was assumed for each job set to schedule machines and automated guided vehicles dynamically. The genetic algorithm was initially validated by bench mark problems from previous studies. Ten job sets previously scheduled by other researchers using heuristic ii and meta heuristic approaches were used. Precedence constrain connects tasks by a network. There are 4 layouts which define machine locations and automated guided vehicle paths. Through solving the static scheduling problem of previous studies, the genetic algorithm was validated. Thereafter, a set of dynamic scheduling problem was developed from previous bench mark problems and solved using the modified model proposed and validated in this study. Dynamic scheduling problem results show that the genetic algorithm is not limited by the number of components to schedule in the mathematical model. In addition, it was found that as the number of active automated guided vehicles increase in the system, the total completion time decreases. This fact is due to the availability of automated guided vehicle to travel demand. Although having more vehicles in the system may increase the costs of production, one could argue the advantages and disadvantages. According to the results, the total completion time for the first static and dynamic scheduling problems (Job set 1, Layout 1) for one to four vehicles are 161 to 76 and 481 to 186 respectively. Another observation was finding best vehicle type based on the battery charge capacity. Automated guided vehicles maintenance and costs are related to the type and their ability to run with a single charge. Therefore, it is important to choose vehicles which fulfill the needs and requirements of the system. The battery charge capacities were from 25 to 100 which affects the total completion times for static and dynamic scheduling problems relatively. The total completion times for static scheduling problems are 100 to 96 for battery capacities 25 to 100. Likewise dynamic scheduling problem completion times are 291.5 to 272.5.

Risk-Controlled Simultaneous Scheduling of Machines and AGVs Using a Quantile-based Optimization Approach

Author : Wei-Lun Hu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Risk-Controlled Simultaneous Scheduling of Machines and AGVs Using a Quantile-based Optimization Approach by : Wei-Lun Hu

Download or read book Risk-Controlled Simultaneous Scheduling of Machines and AGVs Using a Quantile-based Optimization Approach written by Wei-Lun Hu and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Operational Research

Author : Kaveh Sheibani
Publisher : ORLAB Analytics
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4./5 ( download)

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Book Synopsis Applied Operational Research by : Kaveh Sheibani

Download or read book Applied Operational Research written by Kaveh Sheibani and published by ORLAB Analytics. This book was released on 2013-07-29 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather contributions presented at the 5th International Conference on Applied Operational Research (ICAOR 2013) in Lisbon, Portugal, July 29-31, 2013, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.

Multiobjective Scheduling by Genetic Algorithms

Author : Tapan P. Bagchi
Publisher : Springer Science & Business Media
ISBN 13 : 9780792385615
Total Pages : 384 pages
Book Rating : 4.3/5 (856 download)

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Book Synopsis Multiobjective Scheduling by Genetic Algorithms by : Tapan P. Bagchi

Download or read book Multiobjective Scheduling by Genetic Algorithms written by Tapan P. Bagchi and published by Springer Science & Business Media. This book was released on 1999-08-31 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth. Multiobjective flowshops, job shops and open shops are each highly relevant models in manufacturing, classroom scheduling or automotive assembly, yet for want of sound methods they have remained almost untouched to date. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Also it accents the value of hybridizing Gas with both solution-generating and solution-improvement methods. It envisions fundamental research into such methods, greatly strengthening the growing reach of metaheuristic methods. This book is therefore intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.

Natural Intelligence for Scheduling, Planning and Packing Problems

Author : Raymond Chiong
Publisher : Springer
ISBN 13 : 364204039X
Total Pages : 338 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Natural Intelligence for Scheduling, Planning and Packing Problems by : Raymond Chiong

Download or read book Natural Intelligence for Scheduling, Planning and Packing Problems written by Raymond Chiong and published by Springer. This book was released on 2009-11-18 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling, planning and packing are ubiquitous problems that can be found in a wide range of real-world settings. These problems transpire in a large variety of forms, and have enormous socio-economic impact. For many years, significant work has been devoted to automating the processes of scheduling, planning and packing using different kinds of methods. However, poor scaling and the lack of flexibility of many of the conventional methods coupled with the fact that most of the real-world problems across the application areas of scheduling, planning and packing nowadays tend to be of large scale, dynamic and full of complex dependencies have made it necessary to tackle them in unconventional ways. This volume, "Natural Intelligence for Scheduling, Planning and Packing Problems", is a collection of numerous natural intelligence based approaches for solving various kinds of scheduling, planning and packing problems. It comprises 12 chapters which present many methods that draw inspiration from nature, such as evolutionary algorithms, neural-fuzzy system, particle swarm algorithms, ant colony optimisation, extremal optimisation, raindrop optimisation, and so on. Problems addressed by these chapters include freight transportation, job shop scheduling, flowshop scheduling, electrical load forecasting, vehicle routing, two-dimensional strip packing, network configuration and forest planning, among others. Along with solving these problems, the contributing authors present a lively discussion of the various aspects of the nature-inspired algorithms utilised, providing very useful and important new insights into the research areas.

Configurable Intelligent Optimization Algorithm

Author : Fei Tao
Publisher : Springer
ISBN 13 : 3319088408
Total Pages : 364 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Configurable Intelligent Optimization Algorithm by : Fei Tao

Download or read book Configurable Intelligent Optimization Algorithm written by Fei Tao and published by Springer. This book was released on 2014-08-18 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.

Task Scheduling for FMS Based on Genetic Algorithm

Author : Hung-Yuan Li
Publisher :
ISBN 13 :
Total Pages : 142 pages
Book Rating : 4.:/5 (25 download)

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Book Synopsis Task Scheduling for FMS Based on Genetic Algorithm by : Hung-Yuan Li

Download or read book Task Scheduling for FMS Based on Genetic Algorithm written by Hung-Yuan Li and published by . This book was released on 1991 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Flexible Manufacturing System (FMS) consisting of p automated guided vehicles (AGV's), m workstations and n tasks is studied. The main problem investigated in this thesis is to find an optimal or suboptimal task scheduling for p AGV's among m workstations to complete n tasks. An efficient approach based on genetic algorithms has been designed and implemented to solve the problem of task scheduling for a FMS. Near-optimal, or even optimal, task scheduling is accomplished by genetic algorithms. Simulation results on the algorithm are also discussed.

Springer Handbook of Automation

Author : Shimon Y. Nof
Publisher : Springer Nature
ISBN 13 : 3030967298
Total Pages : 1533 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Springer Handbook of Automation by : Shimon Y. Nof

Download or read book Springer Handbook of Automation written by Shimon Y. Nof and published by Springer Nature. This book was released on 2023-06-16 with total page 1533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field.

Simultaneous Scheduling of Machines and Automated Guided Vehicles in a Special Flexible Manufacturing System

Author : Navid Hashemian
Publisher :
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Simultaneous Scheduling of Machines and Automated Guided Vehicles in a Special Flexible Manufacturing System by : Navid Hashemian

Download or read book Simultaneous Scheduling of Machines and Automated Guided Vehicles in a Special Flexible Manufacturing System written by Navid Hashemian and published by . This book was released on 2008 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Computing and Artificial Intelligence, 14th International Conference

Author : Sigeru Omatu
Publisher : Springer
ISBN 13 : 3319624105
Total Pages : 357 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 14th International Conference by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence, 14th International Conference written by Sigeru Omatu and published by Springer. This book was released on 2017-06-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 14th International Symposium on Distributed Computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of today’s society. The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids. The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of Technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

Scheduling

Author : Chung-Yee Lee
Publisher :
ISBN 13 :
Total Pages : 518 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Scheduling by : Chung-Yee Lee

Download or read book Scheduling written by Chung-Yee Lee and published by . This book was released on 1997 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Algorithms in Search, Optimization, and Machine Learning

Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg

Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Introduction to Autonomous Mobile Robots, second edition

Author : Roland Siegwart
Publisher : MIT Press
ISBN 13 : 0262015358
Total Pages : 473 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Autonomous Mobile Robots, second edition by : Roland Siegwart

Download or read book Introduction to Autonomous Mobile Robots, second edition written by Roland Siegwart and published by MIT Press. This book was released on 2011-02-18 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

International Aerospace Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 980 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis International Aerospace Abstracts by :

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1998 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Computer Sciences in Engineering

Author : Juan Carlos Figueroa-García
Publisher : Springer Nature
ISBN 13 : 303061834X
Total Pages : 530 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Applied Computer Sciences in Engineering by : Juan Carlos Figueroa-García

Download or read book Applied Computer Sciences in Engineering written by Juan Carlos Figueroa-García and published by Springer Nature. This book was released on 2020-10-07 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 7th Workshop on Engineering Applications, WEA 2020, held in Bogota, Colombia, in October 2020. The 32 revised full papers and 12 short papers presented in this volume were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: computational intelligence; computer science; optimization; bioengineering; military applications; simulation, IoT and networks; power applications.

Ant Colony Optimization

Author : Marco Dorigo
Publisher : MIT Press
ISBN 13 : 9780262042192
Total Pages : 324 pages
Book Rating : 4.0/5 (421 download)

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Book Synopsis Ant Colony Optimization by : Marco Dorigo

Download or read book Ant Colony Optimization written by Marco Dorigo and published by MIT Press. This book was released on 2004-06-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.