Development of Evolutionary Algorithm for Job Shop Scheduling Problems : Evolutionary Algorithms for Solving Mono and Multi Objective Job Shop Scheduling Problems

Language: English

Published by LAP LAMBERT Academic Publishing, 2021

620386952X / 9786203869521

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Manufacturing resources have finite capacity. This means that it is necessary to schedule production regularly, although the scope of this activity is not limited to the manufacturing industry. Scheduling of Jobs and resources on a shop floor is an ever-green optimization problem. Significant amount of literature has been available in Operations Research field. Job Shop Scheduling Problem (JSSP) is allocation of n jobs on m machines to complete processing of all jobs in a minimum possible time i.e., makespan. A thorough research survey indicate that Music Based algorithm as Metaheuristic algorithms has not been applied to JSSP and the authors have applied MBHS algorithms as most successful algorithms for JSSPs. The JSSP has been attempted by several direct, indirect methods, procedures, and algorithms in the literature. This book presents a new paradigm of Invasive Weed Optimization which mimics the process of weed colonization and distribution to solve JSSPs. The algorithm had shown encouraging and promising outputs on standard bench marking problems.

Seller Inventory # 9786203869521

Title
Development of Evolutionary Algorithm for Job Shop Scheduling Problems : Evolutionary Algorithms for Solving Mono and Multi Objective Job Shop Scheduling Problems
Author
Hymavathi Madivada
Publisher
LAP LAMBERT Academic Publishing
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620386952X
ISBN 13
9786203869521
Item weight
387 grams
Dimensions
220x150x16 mm

AHA-BUCH GmbH

Einbeck, Germany

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