We report the PASCAL2 benchmark for DAOOPT and GUROBI on MPE task with 330 optimally solved instances from 8 benchmark domains. DAOOPT outperformed GUROBI in 3 domains, while GUROBI was faster than DAOOPT in the rest of the 5 domains. We show that DAOOPT performed well in domains where it could have high quality initial solutions for pruning the AND/OR search space, or skip search when the heuristic upper bounds were converged to the optimal due to MPLP/JGLP algorithms. GUROBI presented excellent performance if cutting planes were applied progressively and its heuristic algorithms could find the optimal solution at the root of branch-and-cut tree. Benchmark on DAOOPT and GUROBI with the PASCAL2 Inference Challenge Problem
We describe the version of the GPT planner used in the probabilistic track of the 4th International ...
PreprintWe provide the global optimization community with new optimality proofs for 6 deceptive benc...
Solutions to non-linear requirements engineering problems may be “brittle”; i.e. small changes may d...
This paper describes our entry for the MAP/MPE track of the PASCAL 2011 Probabilistic Inference Chal...
Solving many-objective problems (MaOPs) is still a significant challenge in the multi-objective opti...
In practical applications, some important classes of problems are NP-complete. Although no worst-cas...
This paper presents and evaluates two pruning techniques to reinforce the efficiency of constraint o...
This paper presents and evaluates two pruning techniques to reinforce the efficiency of constraint o...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
Funding: Nguyen Dang: is a Leverhulme Early Career Fellow; Ian Miguel: supported by EPSRC EP/V027182...
It would not be possible to solve real optimization problems, which usually contain a huge number of...
A typical challenge faced when developing a parametrized solver is to evaluate a set of strategies o...
International audienceDirect Multisearch (DMS) and MultiGLODS are two derivative-free solvers for ap...
Machine learning inference queries are a type of database query for databases where a model pipeline...
We describe the version of the GPT planner used in the probabilistic track of the 4th International ...
PreprintWe provide the global optimization community with new optimality proofs for 6 deceptive benc...
Solutions to non-linear requirements engineering problems may be “brittle”; i.e. small changes may d...
This paper describes our entry for the MAP/MPE track of the PASCAL 2011 Probabilistic Inference Chal...
Solving many-objective problems (MaOPs) is still a significant challenge in the multi-objective opti...
In practical applications, some important classes of problems are NP-complete. Although no worst-cas...
This paper presents and evaluates two pruning techniques to reinforce the efficiency of constraint o...
This paper presents and evaluates two pruning techniques to reinforce the efficiency of constraint o...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
The Boolean optimization problem (BOOP) is a highly useful formulation that embraces a variety of 0-...
Funding: Nguyen Dang: is a Leverhulme Early Career Fellow; Ian Miguel: supported by EPSRC EP/V027182...
It would not be possible to solve real optimization problems, which usually contain a huge number of...
A typical challenge faced when developing a parametrized solver is to evaluate a set of strategies o...
International audienceDirect Multisearch (DMS) and MultiGLODS are two derivative-free solvers for ap...
Machine learning inference queries are a type of database query for databases where a model pipeline...
We describe the version of the GPT planner used in the probabilistic track of the 4th International ...
PreprintWe provide the global optimization community with new optimality proofs for 6 deceptive benc...
Solutions to non-linear requirements engineering problems may be “brittle”; i.e. small changes may d...