Swagatam Das (ed.); Snehanshu Saha (ed.); Carlos A. Coello Coello (ed.); Hemant Rathore (ed.); Jagdish Chand Bansal (ed.) Springer (2024) 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
Oliver Schuetze (ed.); Carlos A. Coello (ed.); Alexandru-Adrian Tantar (ed.); Emilia Tantar (ed.); Pascal Bouvry (ed.); Mor Springer (2013) Kovakantinen 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 (2014) Pehmeäkantinen kirja
Oliver Schuetze; Carlos A. Coello; Alexandru-Adrian Tantar; Emilia Tantar; Pascal Bouvry; Pierre Del Moral; Pierr Legrand Springer International Publishing AG (2015) Pehmeäkantinen kirja
Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coello; Kathrin Klamroth; Kaisa Miettinen; Sanaz Mostaghim; Patrick Reed Springer Nature Switzerland AG (2019) Pehmeäkantinen kirja
This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.
