Using Parallel Strategies to Speed up Pareto Local Search

Bibliographic Details
Title:	Using Parallel Strategies to Speed up Pareto Local Search
Authors:	Shi, Jialong^{Aff22, Aff23}, Zhang, Qingfu^{Aff22, Aff23}, Derbel, Bilel^{Aff24, Aff25}, Liefooghe, Arnaud^{Aff24, Aff25}, Verel, Sébastien^Aff26
Contributors:	Hutchison, David, Series editor^Aff1, Kanade, Takeo, Series editor^Aff2, Kittler, Josef, Series editor^Aff3, Kleinberg, Jon M., Series editor^Aff4, Mattern, Friedemann, Series editor^Aff5, Mitchell, John C., Series editor^Aff6, Naor, Moni, Series editor^Aff7, Pandu Rangan, C., Series editor^Aff8, Steffen, Bernhard, Series editor^Aff9, Terzopoulos, Demetri, Series editor^Aff10, Tygar, Doug, Series editor^Aff11, Weikum, Gerhard, Series editor^Aff12, Shi, Yuhui, editor^Aff13, Tan, Kay Chen, editor^Aff14, Zhang, Mengjie, editor^Aff15, Tang, Ke, editor^Aff16, Li, Xiaodong, editor^Aff17, Zhang, Qingfu, editor^Aff18, Tan, Ying, editor^Aff19, Middendorf, Martin, editor^Aff20, Jin, Yaochu, editor^Aff21
Source:	Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings. 10593:62-74
Database:	Springer Nature eBooks

Description
ISBN:	9783319687582 9783319687599
DOI:	10.1007/978-3-319-68759-9_6