Many scientists, mathematicians, and engineers want to find optimal solutions to their particular problems. Optimization techniques have become important and widely used in industry and science. With the emergence of large-scale networks and complex systems, significant research activity has occurred in the area of global optimization in recent years. Many new theoretical, algorithmic, and computational contributions have resulted. The primary aim of these works is to design numerical methods that attain global and fast local convergence guarantees.
The proposed special session aims to bring together new theories and applications of global and constrained optimization techniques to the data mining, internet/telecommunication, network utility maximization, medical applications, multimedia, computational finance, social network analysis, predictive control (industry 4.0), image, and signal processing problems.
The topics of interest include, but are not limited to:
* Global Minimum Point
* Equality Constrained Nonlinear Optimization Problems
* Large-Scale Optimization
* Engineering design optimization
* Distributed Constrained Optimization Method
* Linear Programming Problem
* Binary Quadratic Optimization
* Bayesian Constrained Optimization Approach
* Cooperative and Parallel Optimization
* Game Theory Concept
* Scheduling Algorithms
* Graph-Based Data Mining
* Stochastic Population-Based Optimization Algorithm
* Heuristic Methods