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Development and Optimization of Mathematical Models for Operations Research

The development of mathematical models and their optimization are fundamental for the effective resolution of many problems in operational research. In recent years, increased insights into real-world problems have led to the development of new mathematical models and optimization algorithms, contri...

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Збережено в:
Формат: Online
Мова:Англійська
Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2023
Предмети:
multi-time generalized Nash equilibrium problem
projected dynamical system
river basin pollution problem
traffic network equilibrium problem
variational inequality problem
freight transportation
heavy-haul railway
combination scheme
train timetable
genetic algorithm
trapezoidal type demand
interval-valued inventory costs
deterioration
preservation technology
QPSO algorithms
mixed integer nonlinear programming
piecewise linear approximation
branch and bound
pairwise comparison
matrix approximation
log-Chebyshev metric
tropical optimization
consumer preference
hotel selection
partial trade credit
cash discount
deteriorating items
EOQ
COVID-19
metaheuristics
project selection
portfolio management
resource
R&D
roadmap
program management
scheduling
unrelated parallel machines
sequence-dependent tasks
makespan
statistical analysis
global optimization
unconstrained minimization
numerical approximations of gradients
meta-heuristics
stochastic parameters
conjugate gradient methods
efficient algorithm
performance profiles
comparisons
testing
discrete optimization
dragonfly algorithm
optimization
swarm intelligence algorithms
traveling salesman problem
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
Онлайн доступ:ONIX_20230405_9783036568904_174
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