Special Issue on Mathematical Modeling, Optimization and Optimal
Control
Mathematical Modeling,
Optimization and Optimal Control" encompasses the formulation
of mathematical representations of real-world systems, the development of methods
to find the best solutions to problems within these models, and the design of
control strategies for achieving desired outcomes. This interdisciplinary field
applies rigorous mathematical techniques to solve complex problems in
engineering, economics, biology, and beyond, aiming to predict system
behaviors, improve performance, and make informed decisions under constraints.
In this special issue, we intend to invite front-line
researchers and authors to submit original research and review articles on Mathematical Modeling, Optimization and Optimal
Control. Potential topics include,
but are not limited to:
-
Linear and
nonlinear programming
-
Dynamic
systems and differential equations
-
Stochastic
optimization and control
-
Combinatorial
optimization
-
Integer programming
-
Game theory
and strategic decision making
-
Optimal control
theory
-
Robust control
-
Machine
learning for control
-
Evolutionary
and genetic algorithms
-
Multi-objective
optimization
-
Simulation-based
optimization
-
Dynamic optimization and control
-
Topology optimization and optimal control
-
Control and complex
systems
Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic
copy of their complete manuscript through the journal’s Paper Submission System.
Please kindly notice that the “Special Issue” under your manuscript
title is supposed to be specified and the research field “Special Issue – Mathematical Modeling, Optimization and
Optimal Control” should be chosen during your submission.
According to the
following timetable:
Submission Deadline
|
June 19th, 2024
|
Publication Date
|
August 2024
|
For publishing
inquiries, please feel free to contact the Editorial Assistant at submission.entrance1@scirp.org
APM
Editorial Office
apm@scirp.org