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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Combinatorial Optimization Problems in Planning and Decision Making: Theory and Applications

Combinatorial Optimization Problems in Planning and Decision Making: Theory and Applications

Zgurovsky, Michael Z.
Pavlov, Alexander A.

Paperback

Series: Studies in Systems, Decision and Control, Book 173

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3030075524
ISBN13: 9783030075521
Publisher: Springer Nature
Published: Dec 20 2018
Pages: 518
Weight: 1.63
Height: 1.08 Width: 6.14 Depth: 9.21
Language: English
Part I Intractable combinatorial optimization problems. PSC-algorithms.- Optimal scheduling for two criteria for a single machine with arbitrary due dates.- Optimal tasks execution for two criteria with a common due date on parallel machines.- Optimal scheduling for the vector criterion for parallel machines with arbitrary due dates.- The total weighted tardiness of tasks minimization on a single machine.- The total earliness/tardiness minimization on a single machine with arbitrary due dates.- The total tardiness of tasks minimization on identical parallel machines with a common due date.- Minimization of the maximum earliness/tardiness of tasks on identical parallel machines with a common due date.- The total weighted completion time of tasks minimization with precedence relations on a single machine.- Part II: Hierarchical planning and decision making in network systems with limited resources.- The four-level model of planning and decision making.- Algorithmic support of the four-level model of planning and decision making.- Models and methods of decision making with non-formalized goals.- Project 1. Informational Decision Support System for the project management in software development.- Project 2. Universal hierarchical system of scheduling and operational planning for the small-scale type of productions.

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