Abstract. This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine t...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
We consider a class of algorithms related to Lempel-Ziv that incorporate restrictions on the manner in which the data can be parsed with the goal of introducing new tradeoffs betwe...
John T. Robinson, Luis Alfonso Lastras-Monta&ntild...
The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single ...