采用种群迁移策略的战场频率动态分配

给出了战场频率分配问题的形式化定义，并提出了一类标准问题测试集。针对问题特点，指出了现有频率分配策略的局限性，提出了一种基于种群迁移策略的战场频率动态分配新算法。新策略中，算法每一次迭代结束前，都以随机候选解和基于上一代最优解生成的候选解作为迁移种群来替换当前种群中较差的解，其中，迁移种群的生成过程受当前可用频率资源的限制。仿真结果表明，新提出的算法能够有效求解战场频率动态分配问题。

Dynamic frequency assignment based on immigrant schemes in battlefield environment

The formalized definition of the frequency assignment problem (FAP) in battlefield environment is given, and a class of benchmark test problems is proposed. According to the characteristics of the problem, the limitations of existing frequency assignment strategies are pointed out, and a new approach based on immigrant schemes is proposed. In particular, at the end of each iteration, based on random solutions and the best solution of the last iteration, an immigrant population which conforms to the resource constraint is generated to replace the worst solutions of the current population. Simulation results show that the proposed new approach can successfully solve the FAP in battlefield environment.