The purpose of this paper is to introduce a multi-agent model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on...
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
The increasing popularity of Web Services (WS) has exemplified the need for scalable and robust discovery mechanisms. Although decentralized solutions for discovering WS promise ...
George Anadiotis, Spyros Kotoulas, Holger Lausen, ...
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...