Christian Blum; Carlos Cotta; Antonio José Fernández Leiva; José E. Gallardo Ruiz; Andrea Roli; Michael Sampels Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Franz Rothlauf (ed.); Jürgen Branke (ed.); Stefano Cagnoni (ed.); Ernesto Costa (ed.); Carlos Cotta (ed.); Rolf Drechsler Springer (2006) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Cecilia Di Chio; Stefano Cagnoni; Carlos Cotta; Marc Ebner; Aniko Ekart; Anna I. Esparcia-Alcázar; Chi-Keong Goh; Merelo Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Robert Schaefer; Carlos Cotta; Joanna Kolodziej; Günter Rudolph Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Robert Schaefer; Carlos Cotta; Joanna Kolodziej; Günter Rudolph Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Cecilia Di Chio; Stefano Cagnoni; Carlos Cotta; Marc Ebner; Aniko Ekart; Anna I. Esparcia-Alcázar; Juan J. Merelo; Neri Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Cecilia Di Chio; Alexandros Agapitos; Stefano Cagnoni; Carlos Cotta; Francisco Fernández de Vega; Gianni A. Di Caro; Drech Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Alberto Moraglio; Sara Silva; Krzysztof Krawiec; Penousal Machado; Carlos Cotta Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Saatavuus: Tilaustuote Pehmeäkantinen kirja
This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms and ant colony optimization.
