Distributed Computing and Artificial Intelligence, 14th International Conference

The 14th International Symposium on Distributed Computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of today's society.

The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids.

The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of Technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

Autorentext

Sigeru Omatu, Osaka Institute of Technology, Osaka, Japan

Sigeru Omatu, Osaka Institute of Technology, Osaka Prefecture, University Faculty of Engineering Omiya 5-16-1 535-8585, Osaka 27 Japan.

Sara Rodríguez Universidad de Salamanca , Salamanca, Spain Sara Rodríguez, Dept. of Computer Sci.& Automation Cont. University of Salamanca Plaza de la Merced S/N 37008 Salamanca, Spain.

Gabriel Villarrubia, Universidad de Salamanca, Salamanca, Spain Gabriel Villarrubia, Universidad de Salamanca, Departamento de Informática y Automática Calle Espejo s/n 37007. Salamanca. Spain.

Pedro Faria GECAD - Instituto Superior de Engenharia do Porto, Porto, Portugal

Pedro Faria GECAD - Instituto Superior de Engenharia, R. Dr. António, Bernardino de Almeida, 431

4200-072 Porto, Portugal

Pawel Sitek, Kielce University of Technology, Faculty of Electrical Engineering and Computer Science, Kielce, Poland Pawel Sitek, Kielce Univ Tech, Fac of Electrical Engg, Dept of Control & Management, Al.1000-PP 7 25-314 Kielce, Poland.

Inhalt
Optimization of urban freight distribution with different time constraints - a hybrid approach.- Artificial bee colony algorithms for two-sided assembly line worker assignment and balancing problem.- Minimizing energy consumption in a straight robotic assembly line using differential evolution algorithm.- Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization.- Quality Assessment of Implementation of Strategy Design Pattern