A framework for parallel second order incremental optimization algorithms for solving partially separable problems.
Kamer KayaFigen ÖztoprakS. Ilker BirbilA. Taylan CemgilUmut SimsekliNurdan KuruHazal KoptagelM. Kaan ÖztürkPublished in: Comput. Optim. Appl. (2019)
Keyphrases
- optimization problems
- combinatorial optimization
- convex optimization problems
- discrete optimization
- global optimization problems
- combinatorial optimization problems
- quadratic program
- optimization approaches
- constrained problems
- solving complex
- evolutionary algorithm
- benchmark problems
- optimization methods
- data structure
- constraint problems
- solving problems
- bilevel programming
- incremental version
- efficient algorithms for solving
- resource constrained project scheduling problem
- partial constraint satisfaction
- stochastic shortest path
- quadratic optimization problems
- constraint satisfaction problems
- convex optimization
- mathematical programming
- learning algorithm
- search algorithm
- computational complexity
- probabilistic model
- problems in artificial intelligence
- suboptimal solutions
- convergence rate
- parallel architectures
- test problems
- combinatorial problems
- continuous optimization
- primal dual
- search problems
- convex programming
- partial solutions
- nonlinear programming