Tekijä: Ying Tan; Yuhui Shi; Yi Chai; Guoyin Wang Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander Gelbukh; Swagatam Das; Andries Engelbrecht Kustantaja: Springer International Publishing AG (2015) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander Gelbukh; Swagatam Das; Andries Engelbrecht Kustantaja: Springer International Publishing AG (2015) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander Gelbukh; Swagatam Das; Andries Engelbrecht Kustantaja: Springer International Publishing AG (2015) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ying-Ying Tan; Pritipuspa Mishra Kustantaja: Taylor & Francis Ltd (2020) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Tekijä: Ying Tan (ed.); Yuhui Shi (ed.); Albert Zomaya (ed.); Hongyang Yan (ed.); Jun Cai (ed.) Kustantaja: Springer (2021) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ying Tan (ed.); Yuhui Shi (ed.); Albert Zomaya (ed.); Hongyang Yan (ed.); Jun Cai (ed.) Kustantaja: Springer (2021) Saatavuus: Noin 17-20 arkipäivää
The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011.
The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I.
Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.
