SHORELINE PROTECTION PLANNING AGAINST SEA-LEVEL RISE: A COMPUTATIONALLY FEASIBLE APPROACH

Sea level rise poses an imminent threat to coastal cities, including their traffic networks. As planners devise the most effective levee protection strategy to mitigate traffic disruptions, they may face a large number of possible scenarios which may become computationally infeasible to simulate. This paper presents Genetic Algorithms (GAs) that explore the full range of protection scenarios aiming to minimize traffic disruptions with a guided search. The protection benefits used in this research were generated within a logical range obtained from the results of previous research. The algorithm was evaluated with a few varying parameters against a Pareto frontier obtained from the generated benefits. The results show a performance close to the optimal while reducing the expected number of simulations to be run to a fraction of the total, displaying a promising protection strategy search algorithm.