This paper proposes a design for the optimized dynamic (re)composition of services that supports various user requests and accounts for changes in user`s context. The composition ...
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Abstract. The problem of self-optimization and adaptation in the context of customizable systems is becoming increasingly important with the emergence of complex software systems a...
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Making a database system active entails developing an expressive event specification language with well-defined semantics, algorithms for the detection of composite events, and an...
Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar,...