Evolutionary Computation in Scheduling

Langue : anglais

Edité par John Wiley and Sons Inc, US, 2020

111957384X / 9781119573845

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Presents current developments in the field of evolutionary scheduling and demonstrates the applicability of evolutionary computational techniques to solving scheduling problems This book provides insight into the use of evolutionary computations (EC) in real-world scheduling, showing readers how to choose a specific evolutionary computation and how to validate the results using metrics and statistics. It offers a spectrum of real-world optimization problems, including applications of EC in industry and service organizations such as healthcare scheduling, aircraft industry, school timetabling, manufacturing systems, and transportation scheduling in the supply chain. It also features problems with different degrees of complexity, practical requirements, user constraints, and MOEC solution approaches. Evolutionary Computation in Scheduling starts with a chapter on scientometric analysis to analyze scientific literature in evolutionary computation in scheduling. It then examines the role and impacts of ant colony optimization (ACO) in job shop scheduling problems, before presenting the application of the ACO algorithm in healthcare scheduling. Other chapters explore task scheduling in heterogeneous computing systems and truck scheduling using swarm intelligence, application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization, task scheduling in cloud environments, scheduling of robotic disassembly in remanufacturing using the bees algorithm, and more. This book: Provides a representative sampling of real-world problems currently being tackled by practitionersExamines a variety of single-, multi-, and many-objective problems that have been solved using evolutionary computations, including evolutionary algorithms and swarm intelligenceConsists of four main parts: Introduction to Scheduling Problems, Computational Issues in Scheduling Problems, Evolutionary Computation, and Evolutionary Computations for Scheduling Problems Evolutionary Computation in Scheduling is ideal for engineers in industries, research scholars, advanced undergraduates and graduate students, and faculty teaching and conducting research in Operations Research and Industrial Engineering.…

N° de réf. du vendeur LU-9781119573845

Titre
Evolutionary Computation in Scheduling
Auteur
Amir H. Gandomi
Éditeur
John Wiley and Sons Inc, US
Année de publication
2020
État de l'article
New
Reliure
Hardback
Langue
anglais
ISBN à 10 chiffres
111957384X
ISBN à 13 chiffres
9781119573845
Poids de l'article
752 grammes

Rarewaves.com UK

London, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 juin 2025

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article60 à 60 jours ouvrés60 à 60 jours ouvrés
Premier articleEUR 75,83EUR 116,66
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