NAAM-MOEA/D-Based Multitarget Firepower Resource Allocation Optimization in Edge Computing

In the edge environment, multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been widely used in research of multitarget firepower resource allocation. However, as MOEA/D uses a fixed neighborhood update mechanism, it is impossible to rationally allocate computing resources difficulty each subproblem optimization, which results some problems such reduced population evolution efficiency and poor quality during calculation process. order solve these problems, decision mechanism for subproblems stages designed, this basis, adaptive adjustment proposed adapt environment. The optimization model allocation maximization damage effect minimization strike cost constructed solved. Using ZDT series test functions comparative experiments, simulation show that can balance distribution convergence obtain satisfactory results.