Constrained optimization

In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function...

PDE-constrained optimization is a subset of mathematical optimization where at least one of the constraints may be expressed as a partial differential...

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...

for solving constrained optimization problems. They have similarities to penalty methods in that they replace a constrained optimization problem by a...

{\displaystyle g(x)=0~.} The solution corresponding to the original constrained optimization is always a saddle point of the Lagrangian function, which can...

In mathematical optimization, penalty methods are a certain class of algorithms for solving constrained optimization problems. A penalty method replaces...

single-objective optimization cases are presented. In the second part, test functions with their respective Pareto fronts for multi-objective optimization problems...

In constrained optimization, a field of mathematics, a barrier function is a continuous function whose value increases to infinity as its argument approaches...

problem being optimized, which means DE does not require the optimization problem to be differentiable, as is required by classic optimization methods such...

Chance Constrained Programming (CCP) is a mathematical optimization approach used to handle problems under uncertainty. It was first introduced by Charnes...