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The focus of most research in evolutionary dynamic optimization has been tracking moving optimum (TMO). Yet, TMO does not capture all the characteristics of real-world dynamic optimization problems (DOPs), especially in situations where a solution’s future fitness has to be considered. To account for a solution’s future fitness explicitly, we propose to find robust solutions to DOPs, which are formulated...
Evolutionary dynamic optimization has been drawing more and more research attention, and yet most work in this area is focused on Tracking Moving Optimum (TMO), which is to optimize the current fitness function at any time point. Recently, we proposed a more practical way to solve dynamic optimization problems, which is referred to as Robust Optimization Over Time (ROOT). In ROOT, we are trying to...
Capacitated Arc Routing Problem (CARP) has drawn much attention during the last few years because of its applications in the real world. Recently, we developed a Memetic Algorithm with Extended Neighborhood Search (MAENS), which is powerful in solving CARP. The excellent performance of MAENS is mainly due to one of its local search operators, namely the Merge-Split (MS) operator. However, the higher...
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