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Advances and Novel Approaches in Discrete Optimization



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Autore: Werner Frank Visualizza persona
Titolo: Advances and Novel Approaches in Discrete Optimization Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 electronic resource (354 p.)
Soggetto topico: Research & information: general
Mathematics & science
Soggetto non controllato: forgotten index
balaban index
reclassified the zagreb indices
ABC4 index
GA5 index
HDN3(m)
THDN3(m)
RHDN3(m)
degree of vertex
extended adjacency index
scheduling with rejection
machine non-availability
operator non-availability
dynamic programming
FPTAS
Transportation
batching scheduling
total weighted completion time
unary NP-hard
approximation algorithm
bi-criteria scheduling
online algorithm
makespan
maximum machine cost
competitive ratio
network optimization
dynamic flow
evacuation planning
contraflow configuration
partial lane reversals, algorithms and complexity
logistic supports
scheduling algorithm
release-time
due-date
divisible numbers
lateness
bin packing
time complexity
batch scheduling
linear deterioration
job families
Max-cut problem
combinatorial optimization
deep learning
pointer network
supervised learning
reinforcement learning
capacitated lot sizing
mixed integer formulation
retail
inventory
shortages
graph
join product
crossing number
cyclic permutation
arithmetic mean
combinatorial generation
method
algorithm
AND/OR tree
Euler-Catalan's triangle
labeled Dyck path
ranking algorithm
unranking algorithm
Harris hawks optimizer
load frequency control
sensitivity analysis
smart grid
particle swarm optimization
genetic algorithm
meta-heuristics
packing
irregular 3D objects
quasi-phi-function s
nonlinear optimization
single-machine scheduling
minimization of maximum penalty
dual problem
inverse problem
branch and bound
LNS
numerical conversion
RISC
FPGA
embedded systems
scheduling
job-shop
makespan criterion
uncertain processing times
Persona (resp. second.): WernerFrank
Sommario/riassunto: Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applications in many fields. This book results from a Special Issue in the journal Mathematics entitled ‘Advances and Novel Approaches in Discrete Optimization’. It contains 17 articles covering a broad spectrum of subjects which have been selected from 43 submitted papers after a thorough refereeing process. Among other topics, it includes seven articles dealing with scheduling problems, e.g., online scheduling, batching, dual and inverse scheduling problems, or uncertain scheduling problems. Other subjects are graphs and applications, evacuation planning, the max-cut problem, capacitated lot-sizing, and packing algorithms.
Titolo autorizzato: Advances and Novel Approaches in Discrete Optimization  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557686003321
Lo trovi qui: Univ. Federico II
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