@Article{10798587.2017.1294873,
AUTHOR = {Wenjie Yu, Xunbo Li, Hang Yang, Bo Huang},
TITLE = {A Multi-Objective Metaheuristics Study on Solving Constrained Relay Node  Deployment Problem in WSNS},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {2},
PAGES = {367--376},
URL = {http://www.techscience.com/iasc/v24n2/39763},
ISSN = {2326-005X},
ABSTRACT = {This paper studies how to deploy relay nodes into traditional wireless sensor networks with constraint 
aiming to simultaneously optimize two important factors; average energy consumption and average 
network reliability. We consider tackling this multi-objective (MO) optimization problem with three 
metaheuristics, which employ greatly different evolutional strategies, and aim at an in-depth analysis 
of different performances of these metaheuristics to our problem. For this purpose, a statistical 
procedure is employed to analyse the results for confidence, in consideration of two MO quality metrics; 
hypervolume and coverage of two sets. After comprehensive analysis of the results, it is concluded that 
NSGA-II provides the best performance.},
DOI = {10.1080/10798587.2017.1294873}
}