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Multi-Objective Evolutionary Algorithms (MOEAs) and transport simulators have been widely utilized to optimise traffic signal timings with multiple objectives. However, traffic simulations require much processing time and need to be called repeatedly in iterations of MOEAs. As a result, traffic signal timing optimisation process is time-consuming. Anytime behaviour of an algorithm indicates its ability to return as good solutions as possible at any time during its implementation. Therefore,doi:10.1109/ijcnn.2016.7727804 dblp:conf/ijcnn/NguyenPY16 fatcat:p4zxrqtbgbfvdas5xkl66es22y