Download or read book Solving Permutation Flow shop Scheduling Problems Using Local Search and Constraint Programming written by James Gibbons and published by . This book was released on 2004 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstraction is a well known technique within Artificial Intelligence. Although it has been used to solve a variety of problems, it has not been widely applied to scheduling problems. The central thesis of this dissertation is that by applying abstraction to Permutation Flow-shop Scheduling Problems (PFSPs), it is possible to make the problems easier to solve, although we expect to pay a price for this improvement through a decrease in the quality of the solution. In order to solve the problems more easily, we consider three different types of abstraction. These three different approaches all have the same goal: reducing problem complexity. In order to achieve this they all concentrate on making the problem smaller. By choosing three different methods, it allows us to compare and contrast the strengths and weaknesses of each method of abstraction. It was believed that abstraction would be independent of the solve technique that was applied to the problem, however this was not the case. Abstraction was tested using tabu search and constraint programming and behaved differently using the two different techniques. We conclude that while abstraction does lead to quicker and better solutions in some cases, this is not universally the case.

Download or read book Computational Intelligence in Flow Shop and Job Shop Scheduling written by Uday K. Chakraborty and published by Springer Science & Business Media. This book was released on 2009-09-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over fifty years now, the famous problem of flow shop and job shop scheduling has been receiving the attention of researchers in operations research, engineering, and computer science. Over the past several years, there has been a spurt of interest in computational intelligence heuristics and metaheuristics for solving this problem. This book seeks to present a study of the state of the art in this field and also directions for future research.

Download or read book Stochastic Local Search written by Holger H. Hoos and published by Morgan Kaufmann. This book was released on 2005 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.

Download or read book Handbook on Scheduling written by Jacek Blazewicz and published by Springer. This book was released on 2019-04-25 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

Download or read book Handbook on Scheduling written by Jacek Blazewicz and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

Download or read book Bi criteria Group Scheduling with Learning in Hybrid Flow Shops written by Mir Abbas Bozorgirad and published by . This book was released on 2013 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this research, a bi-criteria group scheduling problem is investigated in hybrid flow shop (HFS) environments, where the parallel machines in each stage are unrelated, meaning not identical. The objective of the problem is to minimize a linear combination of the total weighted completion times as a means of complying with the interests of the producer, and the total weighted tardiness as a means of complying with the interests of customers. The underlying assumptions of the problem include the group technology assumptions (GTA) that require all jobs within a group to be processed successively and on the same machine. The runtime of these jobs are dynamic and progressively decrease as the worker learns how to perform similar jobs. A sequence-dependent setup time is considered for switching between different groups on the same machine. Although all jobs have to move in unidirectional paths through the HFS, some may skip some of the stages. Furthermore, in order to capture more realistic features of the scheduling problems, the jobs are assumed to be released into the system at dynamic times, and the machines, as well, are assumed to be available at dynamic times. The problem is formulated as a mixed-integer linear programming (MILP) model. The MILP model for small sizes of the problem is solved to optimality using CPLEX. However, since the problem is strongly NP-hard, it is not possible to find its optimal solution within a reasonable time as the problem size increases to medium to large. Several meta-heuristic algorithms based on tabu search (TS), simulated annealing (SA), and genetic algorithm (GA) are developed to find the optimal/near optimal solutions for this problem. Three alterations of algorithms are developed for TS and SA-based algorithms (referred to as local search algorithms) i.e. non-permutation, partial permutation and local searches with embedded progressive perturbations. Two alternatives are also considered for GA-based algorithms (referred to as population-based algorithms) i.e. simple GA and bi-level GA. The performances of these algorithms are compared to each other in order to identify which algorithm, if any, outperforms the others. Nevertheless, the performances of all algorithms are evaluated with respect to a tight lower bound (LB) obtained based on a branch-and-price (B & P) technique developed in this research. The B & P technique uses Dantzig-Wolfe decomposition to divide the original problem into a master problem and several sub-problems. Although, the sub-problems are smaller than the original problem, they are still strongly NP-hard and cannot be optimally solved within a reasonable amount of time. However, an optimal dispatching rule is proposed that drastically reduces the number of variables and constraints in these sub-problems, and enables the B & P algorithm to find tight lower bounds even for large-size instances of the problem. A comparison between these lower bounds and the ones obtained from CPLEX reveals the impressive performance of the B & P algorithm, i.e. an average of 233% improvement for the largest size of the problems that have been tested. Evaluation of the proposed algorithms with respect to these tight lower bounds uncovers the outstanding performance of all the proposed algorithms, while identifying the bi-level GA as the best performing algorithm in dealing with the HFS scheduling problem. This algorithm reports a remarkable performance with an average deviation of only 2% from the optimal solution for small-size sample problems, and an average gap of 23% from the lower bound for the largest sizes of the tested problems. The largest problem tested in this research consists of a total of 1858 binary variables and 14654 constraints.

Download or read book Handbook on Scheduling written by Jacek Błażewicz and published by Springer Science & Business Media. This book was released on 2007-06-12 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

Download or read book Metaheuristics for Scheduling in Industrial and Manufacturing Applications written by Fatos Xhafa and published by Springer. This book was released on 2008-08-22 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).

Download or read book Encyclopedia of Information Science and Technology Fourth Edition written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2017-06-20 with total page 8356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.

Download or read book Applying Systematic Local Search to Job Shop Scheduling Problems written by Lei Duan and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, the Systematic Local Search, a hybrid search method previously developed in [18] for constraint satisfaction problems, is extended for optimization problems especially in the constraint-based scheduling domain. Also in [10], a novel nogood definition (a nogood is a set of variable assignments that is precluded from any solution to the problem) is proposed as to induce nogoods on the precedence relations of the critical path and a proof demonstrates that this nogood definition captures the optimization criterion and is sound with respect to resolution in search. We evaluate the effectiveness of this extension on the benchmark job shop scheduling problems. Experimental results show that Systematic Local Search outperforms conventional heuristic search methods such as simulated annealing and tabu search and compares favourably with methods designed specifically for the job shop scheduling problems.

Download or read book Flow Shop Scheduling written by Hamilton Emmons and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using simplified notation and revealing unifying concepts, this book covers flow shop systems including two-machine, flexible and stochastic, and examines the reentrant flow shop, in which a job may be reprocessed at the same station or sequence of stations.

Download or read book Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems written by Jean-Charles Régin and published by Springer. This book was released on 2004-05-17 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the First International Conference on IntegrationofAIandORTechniquesinConstraintProgrammingforCombina- rialOptimisation Problems.This new conferencefollows the seriesof CP-AI-OR International Workshops on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimisation Problems held in Ferrara (1999), Paderborn (2000), Ashford (2001), Le Croisic (2002), and Montreal (2003). The success of the previous workshops has demonstrated that CP-AI-OR is bec- ing a major forum for exchanging ideas and methodologiesfrom both ?elds. The aim of this new conference is to bring together researchersfrom AI and OR, and to give them the opportunity to show how the integration of techniques from AI and OR can lead to interesting results on large scale and complex problems. The integration of techniques from Arti?cial Intelligence and Operations - search has provided e?ective algorithms for tackling complex and large scale combinatorial problems with signi?cant improvements in terms of e?ciency, scalability and optimality. The bene?t of this integration has been shown in applications such as hoist scheduling, rostering, dynamic scheduling and vehicle routing. At the programming and modelling levels, most constraint languages embed OR techniques to reason about collections of constraints, so-calledglobal constraints. Some languages also provide support for hybridization allowing the programmer to build new integrated algorithms. The resulting multi-paradigm programmingframeworkcombines the ?exibility and modelling facilities of C- straint Programming with the special purpose and e?cient methods from - erations Research

Download or read book Handbook of Formal Optimization written by Anand J. Kulkarni and published by Springer Nature. This book was released on with total page 1406 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Constraint Programming written by Francesca Rossi and published by Elsevier. This book was released on 2006-08-18 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics.The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. While there are several excellent books on constraint programming, such books necessarily focus on the main notions and techniques and cannot cover also extensions, applications, and languages. The handbook gives a reasonably complete coverage of all these lines of work, based on constraint programming, so that a reader can have a rather precise idea of the whole field and its potential. Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area.The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge. Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.The handbook is organized in two parts. The first part covers the basic foundations of constraint programming, including the history, the notion of constraint propagation, basic search methods, global constraints, tractability and computational complexity, and important issues in modeling a problem as a constraint problem. The second part covers constraint languages and solver, several useful extensions to the basic framework (such as interval constraints, structured domains, and distributed CSPs), and successful application areas for constraint programming.- Covers the whole field of constraint programming- Survey-style chapters- Five chapters on applications

Download or read book A Computational Study of the Job shop and the Flow shop Scheduling Problems written by Helena Ramalhinho Dias Lourenço and published by . This book was released on 1993 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Matheuristic Algorithms to Minimize Total Tardiness in Flow Shop Scheduling written by Quang Chieu Ta and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book POPULATION BASED SEARCH HEURISTICS FOR SCHEDULING JOB SHOPS ASSOCIATED WITH MULTIPLE ROUTINGS written by B. S. Girish and published by B. S. Girish. This book was released on 2024-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses two different models of job shop scheduling applications that are associated with multiple routings. The first application is the well known scheduling model, generally addressed in the literature as Flexible job shop scheduling problem (FJSP), which belongs to the category of toughest NP-hard problems. The second scheduling model addressed in this thesis is based on the production environment of a capital goods industry in which the components of different products are processed and assembled in an assembly job shop type environment. The processing operations on all components in the model also consider alternative routing option. This problem is, therefore, addressed as assembly job shop scheduling associated with multiple routings (AJSP), which is much more complex than FJSP. To solve such NP-hard problems, heuristic approaches have emerged as a promising alternative to the mathematical approaches. Three population based search heuristics, a Genetic Algorithm (GA), an Ant Colony Optimization (ACO) algorithm and a Particle Swarm Optimization (PSO) algorithm, are proposed to evolve optimal schedules for both the models. The performance of the three population based search heuristics for FJSP are tested with various benchmark instances for minimum makespan time criterion and evaluated by comparing their solutions with the lower bound solution (LB), best known solution (BKS) and the solution obtained with constraint programming formulation (CPF) for the problem solved using ILOG Solver. The performance comparison reveals that the proposed algorithms outperformed CPF and are competent with the existing approaches. The proposed algorithms are, therefore, effective tools for solving FJSP instances. The performance of the three population-based search heuristics for AJSP are tested with various problem instances for minimum total tardiness cost criterion and the results obtained are compared with the results of CPF solved using ILOG Solver. The performance comparison reveals that the proposed heuristics perform better than the CPF.