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Mathematical Methods for Operations Research Problems

This reprint of the Special Issue in the journal Mathematics presents research in the area of Operations Research. The subjects addressed in the 15 research papers cover a broad spectrum of subjects, such as machine learning, scheduling, timetabling, or graph theory.

Gorde:
Formatua: Online
Hizkuntza:ingelesa
Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2024
Gaiak:
integer programming
digital geometry
non-traditional grids
shortest chamfer paths
4D grid
linear programming
optimization
digital distances
chamfer distances
weighted distances
ant colony optimization
mathematical programming
negative learning
minimum dominating set
multi-dimensional knapsack problem
discrete optimization
operational research
computational geometry
complexity
algorithms
dynamic programming
clustering
k-center
p-center
sum-radii clustering
sum-diameter clustering
bi-objective optimization
Pareto Front
parallel programming
global total domination
total k-domination number
Best–Worst Method
Eigenvalue Method
Geometric Mean Method
Monte Carlo simulations
pairwise comparisons
sensitivity
scheduling
uniform machines
release time
delivery time
time complexity
algorithm
pressing process
printed circuit board
mixed-integer linear programming
heuristic
swarm intelligence method
parameter control
adaptive technique
hidden Markov model
(s, Q)-policy
Markovian Arrival Process
N-policy
impatient customers
cryptocurrency
portfolio selection
return and risk measures
market capitalization
volume
attractiveness
PROMETHEE II
multicriteria model
carbon emission
carbon trading
e-commerce supply chain
sustainable development
clustering techniques
metaheuristics
machine learning
self-adaptive
parameter setting
exploration
exploitation
hybrid approach
optimisation
multiphase systems
heavy traffic
Little’s formula
timetabling problem
course university timetabling problem
AACSB standards
integer linear programming
n/a
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization
Sarrera elektronikoa:ONIX_20240906_9783725816262_157
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Gaia:This reprint of the Special Issue in the journal Mathematics presents research in the area of Operations Research. The subjects addressed in the 15 research papers cover a broad spectrum of subjects, such as machine learning, scheduling, timetabling, or graph theory.

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