Fernando de la Prieta (ed.); María J. Escalona (ed.); Rafael Corchuelo (ed.); Philippe Mathieu (ed.); Zita Vale (ed.); Camp Springer (2016) Pehmeäkantinen kirja
Javier Bajo (ed.); Zita Vale (ed.); Kasper Hallenborg (ed.); Ana Paula Rocha (ed.); Philippe Mathieu (ed.); Pawe Pawlewski Springer (2017) Pehmeäkantinen kirja
Fernando De la Prieta (ed.); Zita Vale (ed.); Luis Antunes (ed.); Tiago Pinto (ed.); Andrew T. Campbell (ed.); Vice Julián Springer (2017) Pehmeäkantinen kirja
Enrique Herrera-Viedma (ed.); Zita Vale (ed.); Peter Nielsen (ed.); Angel Martin Del Rey (ed.); Roberto Casado Vara (ed.) Springer (2019) Pehmeäkantinen kirja
Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology.
Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.
