The economic dispatch problem in smart grids is studied in this paper. A discrete predefined-time distributed optimization algorithm is proposed based on predefined-time convergence, which can make ...

A fuzzy predictive control algorithm based on fuzzy model and discrete optimization is presented for a family of complex systems with high nonlinearity. In order to implement nonlinear predictive ...

Optimization algorithms are powerful tools that can help you explore the design space, ... discrete or continuous variables might be present in the formulation or a combination of both.

Learn about five production optimization algorithms that can help you improve your discrete manufacturing process: LP, GA, ANN, MIP, and SO.

The traditional state transition algorithm is an unconstrained optimization method and applicable to continuous optimization problems. Therefore, a discrete state transfer algorithm (DSTA) is proposed ...

Preparation for Using Optimization Algorithms It is rare that a problem is submitted to an optimization algorithm "as is." By making a few changes in your problem, you can reduce its complexity, that ...

Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, ... , global optimization algorithms. Inspired by the biological concept of evolution by natural ...

A. P. Punnen, The bipartite QUBO, in Quadratic unconstrained binary optimization problem: Theory, Algorithms, and Applications, A. P. Punnen (ed.), ... Special issue of Discrete Optimization Elsevier ...

Dr. Stephane Dedieu. January-Feb. 2023. The initial motivation for this work: develop a multi-objective optimization methodology for a pseudo-adaptive algorithm that assigns IoT devices to a set of ...

We will survey recent work in the design of approximation algorithms for several discrete stochastic optimization problems, with a particular focus on 2-stage problems with recourse. In each of the ...