Abstract. In this paper we describe EvoCK, a new approach to the application of genetic programming (GP) to planning. This approach starts with a traditional AI planner (PRODIGY)an...
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
In this paper we face the Job Shop Scheduling Problem with Sequence Dependent Setup Times by means of a genetic algorithm hybridized with local search. We have built on a previous...
Abstract. In modern parallel and distributed systems, the time for exchanging data is usually larger than that for computing elementary operations. Consequently, these communicatio...
Johnatan E. Pecero, Denis Trystram, Albert Y. Zoma...
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...