Recent Advances of Disсrete Optimization and Scheduling

This reprint of this Special Issue of Mathematics presents recent research within the field of discrete optimization and scheduling. The subjects addressed in the ten research papers cover a broad spectrum of optimization algorithms, e.g., papers dealing with nature-inspired algorithms, routing prob...

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Format: E-Book
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2024
Schlagworte:
adaptability
ant colony optimization
approximate algorithms
approximation
approximation algorithms
autonomy
axial assignment problem
batching
bin packing problem
branch-and-bound
capacity increase
continuous optimization problem
decomposition
deterioration
digital twin
discrete optimization problem
enterprise
Goethals–Seidel sequences
grey wolf optimizer
health scheduling
integer programming
Java macaque algorithm
k-block and k-partition
mixed linear integer programming
multi-agent technology
multi-index problem
n/a
nature-inspired algorithm
NP-hardness
ontology
operational transconductance amplifiers
plane graph
pole/zero extraction
polynomial algorithm
rate-modifying activity
real time
resource management
root splitting
routing
scheduling
scheduling problem
scheduling theory
shared common setups
simplification
simulated annealing
single machine scheduling
symbolic circuit analysis
symmetry and antisymmetry
total completion time
total weighted completion times
ISBN:372580673X, 3725806748, 9783725806737, 9783725806744
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This reprint of this Special Issue of Mathematics presents recent research within the field of discrete optimization and scheduling. The subjects addressed in the ten research papers cover a broad spectrum of optimization algorithms, e.g., papers dealing with nature-inspired algorithms, routing problems in plane graphs, the scheduling of surgeries in operation rooms, or single machine scheduling problems.
ISBN:372580673X
3725806748
9783725806737
9783725806744
DOI:10.3390/books978-3-7258-0674-4