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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Multiobjective Scheduling by Genetic Algorithms (Paperback, Softcover reprint of the original 1st ed. 1999)
Loot Price: R3,680
Discovery Miles 36 800
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Multiobjective Scheduling by Genetic Algorithms (Paperback, Softcover reprint of the original 1st ed. 1999)
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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.
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