Approximate solutions of convex semi-infinite optimization problems in finitely many iterations.
Jochen SchmidPublished in: CoRR (2021)
Keyphrases
- semi infinite
- approximate solutions
- optimization problems
- linear program
- optimal solution
- objective function
- metaheuristic
- semidefinite
- np hard
- quadratic program
- optimality conditions
- evolutionary algorithm
- nonlinear programming
- linear programming
- cost function
- finite dimensional
- quadratically constrained quadratic
- lower bound
- exact solution
- column generation
- search space
- interior point methods
- convex optimization
- approximation algorithms
- optimization methods
- feasible solution
- combinatorial optimization
- sufficient conditions
- primal dual
- mixed integer
- special case
- semidefinite programming
- higher dimensional
- finite number
- upper bound
- energy function
- genetic algorithm