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A Hybrid Genetic Algorithm For The Economic Lot Scheduling Problem
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Book Synopsis A Hybrid Genetic Algorithm for the Economic Lot Scheduling Problem by : Ilkyeong Moon
Download or read book A Hybrid Genetic Algorithm for the Economic Lot Scheduling Problem written by Ilkyeong Moon and published by . This book was released on 1998 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 2012-12-06 with total page 369 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.
Book Synopsis A Hybrid Genetic Algorithm for the Re-Entrant Flow-Shop Scheduling Problem by : Jen-Shiang Chen
Download or read book A Hybrid Genetic Algorithm for the Re-Entrant Flow-Shop Scheduling Problem written by Jen-Shiang Chen and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study developed a hybrid genetic algorithm (HGA) for the RFS problems with makespan as the criterion. The computational experiments have shown that the HGA can favorably improve the results obtained by (NDY, SPT/TWKR) and NEH in RFS problems. GA is inspired by nature phenomena. If it mimics exactly the way nature works, an unexpected long computational time must take. Hence the effect of parameters must be studied thoroughly in order to obtain good solution in a reasonable time. The probability to obtain near-optimal solution increases in the cost of longer computational time when the number of generations or population size enlarges. When dealing with large size problems or large re-entrant times, the probability to obtain near optimal solution increases by setting larger population size or generations. In conclusion, GA provides a variety of options and parameter settings which still have to be fully investigated. This study has demonstrated the potential for solving RFS problems by means of a GA, and it clearly suggests that such procedures are well worth exploring in the context of solving large and difficult combinatorial problems. The most challenging problem in the test of RFS is to prevent early convergence of the genetic algorithm. The convergence speeds up when the number of operations enlarges. In future study, a thorough investigation may be done on this issue. The parameter setting in GA affects computational efficiency and quality of solution greatly. Not only job numbers and machine numbers have impacts on parameter setting, but also the number of levels contributed a lot. It is an important future study issue to determine the best parameter setting for GA in different environment. In future study, the GA can be combined with other heuristics or algorithms to obtain the more efficiency and the better quality solution.
Book Synopsis Evolutionary Search and the Job Shop by : Dirk C. Mattfeld
Download or read book Evolutionary Search and the Job Shop written by Dirk C. Mattfeld and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.
Book Synopsis Hybrid Genetic Algorithms for the Single Machine Scheduling Problem with Sequence-Dependent Setup Times by : Aymen Sioud
Download or read book Hybrid Genetic Algorithms for the Single Machine Scheduling Problem with Sequence-Dependent Setup Times written by Aymen Sioud and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Genetic Algorithms for the Single Machine Scheduling Problem with Sequence-Dependent Setup Times.
Download or read book OmeGA written by Dimitri Knjazew and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling.
Book Synopsis A Hybrid Genetic/Optimization Algorithm for a Task Allocation Problem by : Atidel Ben Hadj-Alouane
Download or read book A Hybrid Genetic/Optimization Algorithm for a Task Allocation Problem written by Atidel Ben Hadj-Alouane and published by . This book was released on 1996 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Hybrid Parallel Genetic Algorithm for Solving Job-shop Scheduling Problems by : Teck Hui Gan
Download or read book A Hybrid Parallel Genetic Algorithm for Solving Job-shop Scheduling Problems written by Teck Hui Gan and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Hybrid Algorithm for Solving the Economic Lot and Delivery Scheduling Problem in the Common Cycle Case by : Ju Suquan
Download or read book A Hybrid Algorithm for Solving the Economic Lot and Delivery Scheduling Problem in the Common Cycle Case written by Ju Suquan and published by . This book was released on 2004 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Task Scheduling Through a Hybrid Genetic Algorithm: an Update to the Horizon Simulation Framework by : Derek Joseph Seibel
Download or read book Task Scheduling Through a Hybrid Genetic Algorithm: an Update to the Horizon Simulation Framework written by Derek Joseph Seibel and published by . This book was released on 2008 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the need for an update to the Horizon scheduler and explores the concepts behind a genetic algorithm written in C++, including a background into genetic algorithms and their applications.
Book Synopsis A Genetic Algorithm for the Flexible Job-shop Scheduling Problem by : F. Pezzella
Download or read book A Genetic Algorithm for the Flexible Job-shop Scheduling Problem written by F. Pezzella and published by . This book was released on 2008 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Hybrid Genetic Algorithm for the Design of Integrated Production and Distribution Systems by : Shu-Ling Chen
Download or read book A Hybrid Genetic Algorithm for the Design of Integrated Production and Distribution Systems written by Shu-Ling Chen and published by . This book was released on 2002 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Hybrid Genetic Algorithm to Minimize the Earliness and Tardiness Penalties for a Single-machine Scheduling Problem with a Common Due Date and Sequence-dependent Setup Times by : Pradeep Ramamurthy Durbhakula
Download or read book A Hybrid Genetic Algorithm to Minimize the Earliness and Tardiness Penalties for a Single-machine Scheduling Problem with a Common Due Date and Sequence-dependent Setup Times written by Pradeep Ramamurthy Durbhakula and published by . This book was released on 2004 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hybrid Genetic Algorithm with Multi-parents Recombination for Job Shop Scheduling Problems by : Chung Sin Ong
Download or read book Hybrid Genetic Algorithm with Multi-parents Recombination for Job Shop Scheduling Problems written by Chung Sin Ong and published by . This book was released on 2013 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Hybrid Genetic Algorithm by : Phillip B. Collins
Download or read book A Hybrid Genetic Algorithm written by Phillip B. Collins and published by . This book was released on 1997 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Genetic Algorithm for the Talent Scheduling Problem by : Anna-Lena Nordstrom
Download or read book A Genetic Algorithm for the Talent Scheduling Problem written by Anna-Lena Nordstrom and published by . This book was released on 1991 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Application of a Genetic Algorithm to a Scheduling Problem by : Kent Joseph Kostuk
Download or read book The Application of a Genetic Algorithm to a Scheduling Problem written by Kent Joseph Kostuk and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: