It takes the average reader 6 hours and 22 minutes to read Multiobjective Scheduling by Genetic Algorithms by Tapan P. Bagchi
Assuming a reading speed of 250 words per minute. Learn more
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 by Tapan P. Bagchi is 369 pages long, and a total of 95,571 words.
This makes it 125% the length of the average book. It also has 117% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 42 minutes to read Multiobjective Scheduling by Genetic Algorithms aloud.
Multiobjective Scheduling by Genetic Algorithms is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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