Special Issue "Numerical Optimization and Applications"
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: 30 June 2020.
Interests: : fuzzy optimization; fuzzy real analysis; fuzzy statistical analysis; operations research; computational intelligence; soft computing; fixed point theory; applied functional analysis
Special Issues and Collections in MDPI journals
Numerical optimization is a branch of mathematical and numerical analysis. Because of the growing use of optimization in practical problems, almost every problem in science, engineering, and economics can be formulated as an optimization problem in which the computational techniques based on mathematical analysis are frequently designed to solve those problems. Studying the approximate solutions of optimization problems with the presence of computational errors and the convergent behavior of algorithms are the important issues. However, some of the problems are very difficult to solve using the approaches of mathematical analysis. In this case, natural computing is an important tool to solve the hard optimization problems for the purpose of generating the near-optimal solutions, where natural computing is concerned with computing inspired by nature. The topics of this Special Issue include, but are not limited to:
- Variants of Newton methods
- Interior-point method
- Conjugate gradient method
- Proximal point method
- Predictor–corrector method
- Trust-region method
- Simulation-based optimization
Natural computing (evolutionary computation, neural computation, quantum computation, ant colony optimization, artificial immune systems, swarm intelligence, etc.)
Prof. Dr. Hsien-Chung Wu
Manuscript Submission Information
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- Convergence analysis
- Genetic algorithms
- Gradient and subgradient
- Nonsmooth optimization
- Nondifferentiability and subdifferentiability
- Near-optimal solution
- Simulated annealing