Multiobjective Scheduling by Genetic Algorithms

Name: Multiobjective Scheduling by Genetic Algorithms
Brand: Springer
SKU: 9780792385615
Price: 76883 HUF
Availability: InStock

Szerző: Tapan P. Bagchi

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

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Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solu...

Információk a könyvről

Szerző

Tapan P. Bagchi

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1999

oldal

358

EAN

9780792385615

ISBN

0792385616

Enbook ID

01397689

Kiadó

Springer

Súly

1550

Méretek

155 x 235 x 25

Teljes leírás

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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