Metaheuristic Analysis for Optimum Scheduling in FMS

CHF 85.40
Auf Lager
SKU
D0K9A0CKM03
Stock 1 Verfügbar
Geliefert zwischen Mo., 29.12.2025 und Di., 30.12.2025

Details

The survey work is carried out on simultaneous scheduling optimization with Machines and AGV's. The third chapter highlights various concepts of simultaneous scheduling. The significance of the scheduling in FMS environment is also considered and chapter four discusses the proposed Differential Evolution, Simulated Annealing, and a Tabu search, for the optimization of the simultaneous scheduling of AGV's and Machines. Fifth chapter depicts the various simultaneous scheduling Model Buildings with various configurations and discusses the proposed Differential Evolution, Simulated Annealing, and a Tabu search procedures followed in optimizing the simultaneous scheduling of AGV's and Machines and sixth chapter explains the procedure of Differential Evolution, Simulated Annealing, and a Tabu search provides comparison of proposed algorithm with the obtained results and the various observations of the performances of Meta-heuristic methods are enumerated. The final chapter seven gives the conclusion of the research work carried out on simultaneous scheduling of AGV's and Machine, and also discusses the scope for future work.

Autorentext

P. SREENIVAS, M.Tech., Ph.D. Professeur associé au département de génie mécanique, KSRM College of Engineering, Kadapa-516005. Il a 20 ans d'expérience dans l'enseignement et la recherche.SHAIK KHAJA PEER SAHEB, M.Tech., Ph.D., Professeur au Département de génie mécanique, KSRMCE, Kadapa-516005. 32 ans d'expérience dans l'enseignement et la recherche.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786206790211
    • Genre Mechanical Engineering
    • Sprache Englisch
    • Anzahl Seiten 140
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T9mm
    • Jahr 2023
    • EAN 9786206790211
    • Format Kartonierter Einband
    • ISBN 6206790215
    • Veröffentlichung 16.10.2023
    • Titel Metaheuristic Analysis for Optimum Scheduling in FMS
    • Autor P. Sreenivas , Shaik Khaja Peer Saheb
    • Untertitel DE
    • Gewicht 227g

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470