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Multiobjective Scheduling by Genetic Algorithms
Tapan P. Bagchi
€ 244.75
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Description for Multiobjective Scheduling by Genetic Algorithms
hardcover. Describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Num Pages: 358 pages, biography. BIC Classification: KJMV5; TGPC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 155 x 22. Weight in Grams: 703.
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 ... Read 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 ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
Kluwer Academic Publishers United States
Number of pages
358
Condition
New
Number of Pages
358
Place of Publication
Dordrecht, Netherlands
ISBN
9780792385615
SKU
V9780792385615
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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