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{ "item_title" : "Flow Shop Scheduling Algorithms", "item_author" : [" Danyu Bai", "Xinyue Wang", "Tao Ren "], "item_description" : "Flow Shop Scheduling Algorithms: Design and Performance Analysis is an in-depth exploration of flow shop scheduling models that are critically important in discrete manufacturing and process industries. The book presents a blend of exact algorithms, such as branch and bound and approximate methods, including intelligent optimization techniques, to tackle the NP-hard problems (a class of complex computational problems that are at least as hard as the hardest problems in the NP class) inherent in flow shop scheduling. It offers readers a means to achieve optimal or near-optimal solutions for a range of scheduling problems, from small to medium scale. In addition, the book includes many algorithmic designs, performance analyses, and numerical experiments that validate the efficacy of the proposed methods", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/44/349/430/0443494304_b.jpg", "price_data" : { "retail_price" : "250.00", "online_price" : "250.00", "our_price" : "250.00", "club_price" : "250.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Flow Shop Scheduling Algorithms|Danyu Bai

Flow Shop Scheduling Algorithms : Design and Performance Analysis

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Overview

Flow Shop Scheduling Algorithms: Design and Performance Analysis is an in-depth exploration of flow shop scheduling models that are critically important in discrete manufacturing and process industries. The book presents a blend of exact algorithms, such as branch and bound and approximate methods, including intelligent optimization techniques, to tackle the NP-hard problems (a class of complex computational problems that are at least as hard as the hardest problems in the NP class) inherent in flow shop scheduling. It offers readers a means to achieve optimal or near-optimal solutions for a range of scheduling problems, from small to medium scale. In addition, the book includes many algorithmic designs, performance analyses, and numerical experiments that validate the efficacy of the proposed methods

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Details

  • ISBN-13: 9780443494307
  • ISBN-10: 0443494304
  • Publisher: Elsevier
  • Publish Date: January 2027
  • Page Count: 300

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