A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Although several signal timing optimization exist, no software addresses optimal timing in oversaturated conditions. There is a general agreement among the signal system community that different objectives (e.g., throughput and queue management) become more important at oversaturated conditions than traditional performance measures (e.g., delay). However, there is no agreement or general analytical procedure to quantify the relationship between these objectives. This paper proposes the use of multi-objective optimization for timing signal systems in oversaturated conditions. The proposed approach allows the analyst to explore the relationship between different objectives (e.g., delay, stops, throughput, queue length, cycle failures, etc.) for different degrees of saturations. In this paper, we show an example using delay, stops, and throughput and explore their relationship for oversaturated conditions.