Optimization Algorithms Theory and Applications

This reprint of a Special Issue of Mathematics presents recent research on the theory and applications of optimization. The subjects that are addressed in the ten research papers cover a broad spectrum of optimization algorithms, such as unconstrained optimization, non-convex optimization, multi-obj...

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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2025
Subjects:
acceleration scheme
adaptive parameterization
ADMM
arithmetic optimization algorithm
augmented covering arrays
B-spline interpolation
bacterial memetic algorithm
BFGS method
blocking
characteristic polynomial
concrete retaining walls
decomposition
distributed flowshop scheduling
EUV lithography
evolutionary algorithms
external chain
global convergence
hybrid conjugate gradient method
ill-conditioned matrix
image restoration
iterated greedy algorithm
linear vertex
makespan
many-objective optimization
Mathematics and Science
maximum length directed cycles
metaheuristic
metaheuristics
minimal strong digraphs
multi-factory collaborative strategy
n/a
NP-hard problem
numerical integrals
optimization methods
overlay modeling
parameters tuning
partially linear model
photolithography
population control strategy
q-calculus
Reference, Information and Interdisciplinary subjects
Research and information: general
semiconductor manufacturing
storage location assignment problem
sufficient descent property
systems of nonlinear equations
unconstrained optimization
variational inequality
yield results
ISBN:3725831599, 3725831602, 9783725831609, 9783725831593
Online Access:Get full text
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Description
Summary:This reprint of a Special Issue of Mathematics presents recent research on the theory and applications of optimization. The subjects that are addressed in the ten research papers cover a broad spectrum of optimization algorithms, such as unconstrained optimization, non-convex optimization, multi-objective optimization, graph theory, or flow shop scheduling.
ISBN:3725831599
3725831602
9783725831609
9783725831593
DOI:10.3390/books978-3-7258-3159-3