Eckart Zitzler; Kalyanmoy Deb; Lothar Thiele; Carlos Coello Coello; David Corne Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2001) Pehmeäkantinen kirja
Carlos Coello Coello; Alvaro de Albornoz; Luis E. Sucar; Osvaldo C. Battistutti Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2002) Pehmeäkantinen kirja
Carlos Coello Coello; Vincenzo Cutello; Kalyanmoy Deb; Stephanie Forrest; Giuseppe Nicosia; Mario Pavone Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Carlos Coello Coello; Vincenzo Cutello; Kalyanmoy Deb; Stephanie Forrest; Giuseppe Nicosia; Mario Pavone Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Carlos A. Coello-Coello; Julie Greensmith; Natalio Krasnogor; Pietro Liò; Giuseppe Nicosia; Mario Pavone Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Oliver Schütze; Carlos A. Coello Coello; Alexandru-Adrian Tantar; Emilia Tantar; Pascal Bouvry; Pierre Del Moral; Legrand Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Emilia Tantar; Alexandru-Adrian Tantar; Pascal Bouvry; Pierre Del Moral; Pierrick Legrand; Carlos A. Coello Coello; Schütz Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Kovakantinen kirja
This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.