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Multiobjective Scheduling by Genetic Algorithms

1999-08-31 Business & Economics
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Release : 1999-08-31
Genre : Business & Economics
Kind : eBook
Book Rating : 615/5 ( reviews)

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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. This book was released on 1999-08-31. 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.

Multiobjective Scheduling by Genetic Algorithms

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 370/5 ( reviews)

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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. This book was released on 2012-12-06. 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.

Genetic Algorithms and Fuzzy Multiobjective Optimization

2002 Business & Economics
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Release : 2002
Genre : Business & Economics
Kind : eBook
Book Rating : 527/5 ( reviews)

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Book Synopsis Genetic Algorithms and Fuzzy Multiobjective Optimization by : Masatoshi Sakawa

Download or read book Genetic Algorithms and Fuzzy Multiobjective Optimization written by Masatoshi Sakawa. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt: Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.

Applications of Multi-objective Evolutionary Algorithms

2004 Computers
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Release : 2004
Genre : Computers
Kind : eBook
Book Rating : 064/5 ( reviews)

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Book Synopsis Applications of Multi-objective Evolutionary Algorithms by : Carlos A. Coello Coello

Download or read book Applications of Multi-objective Evolutionary Algorithms written by Carlos A. Coello Coello. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: - Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

Network Models and Optimization

2008-07-10 Technology & Engineering
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Release : 2008-07-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 819/5 ( reviews)

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Book Synopsis Network Models and Optimization by : Mitsuo Gen

Download or read book Network Models and Optimization written by Mitsuo Gen. This book was released on 2008-07-10. Available in PDF, EPUB and Kindle. Book excerpt: Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

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