Isbn: 9786207831487 - immune and multi-agent systems for flow shop scheduling: solving problems in flow production planning (10 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Taschenbuch. Condición: Neu. Immune and Multi-agent systems for Flow shop scheduling | Solving problems in flow production planning | Adel Abdelhadi (u. a.) | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786207831487 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a new mutation operator that integrates principles from artificial immune systems (AIS) and multi-agent systems, with the aim of optimizing preventive maintenance planning in hybrid flow shop environments.The operator introduces slight adjustments in sequences to avoid convergence to local optima, improve population diversity and act as a local search mechanism. Inspired by the adaptive behavior of the human immune system, the approach uses metaheuristic techniques to refine processing times, combining multi-agent coordination with AIS-inspired strategies.The method is applied to three preventive maintenance policies, focused on maximizing machine availability and meeting minimum reliability thresholds in production lines. Results show that the algorithm outperforms existing solutions, particularly in scenarios where machines experience periodic unavailability during production planning.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a new mutation operator that integrates principles from artificial immune systems (AIS) and multi-agent systems, with the aim of optimizing preventive maintenance planning in hybrid flow shop environments.The operator introduces slight adjustments in sequences to avoid convergence to local optima, improve population diversity and act as a local search mechanism. Inspired by the adaptive behavior of the human immune system, the approach uses metaheuristic techniques to refine processing times, combining multi-agent coordination with AIS-inspired strategies.The method is applied to three preventive maintenance policies, focused on maximizing machine availability and meeting minimum reliability thresholds in production lines. Results show that the algorithm outperforms existing solutions, particularly in scenarios where machines experience periodic unavailability during production planning.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.