Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
In this paper we present an ant-based algorithm for solving unconstrained multi-level lot-sizing problems called ant system for multi-level lot-sizing algorithm (ASMLLS). We apply...
Rapeepan Pitakaso, Christian Almeder, Karl F. Doer...
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
act 12 This paper describes a new placement method based on pattern matching for 2D tiling problems. Tiling problem can be 13 considered as a special case of bin packing. In the pr...
Mahmood Amintoosi, Hadi Sadoghi Yazdi, Mahmood Fat...