ID 原文 译文
38996 近年来，启发式算法越来越多地被用来解决多目标问题。 In recent years, heuristic algorithms have increasingly been used to solve multi-objective problems.
38997 本文提出了一种基于改进烟花算法的多目标多机器人任务分配方法，并详细讨论了多目标解的排序方法和选择策略。 In this paper, a multi-objective multi-robot mission planning method based on improved fireworks algorithm was proposed. In addition, the sorting method and selection strategy of the multi-objective solutions were discussed in detail.
38998 为了验证该方法的性能，对7个实例进行了实验，并对该方法和其他四种多目标算法，Non-dominated Sorting Genetic Algorithm II (NSGA-II)， Strength Pareto Evolutionary Algorithm 2 (SPEA2)，Pareto Envelope-based Selection Algorithm (PESA)和一种改进的Strength Pareto Genetic Algorithm 2 (SPGA2)在S-metric指标上进行了比较。 In order to verify the performance of the method, seven instances were tested, and the method was compared with other four multi-objective algorithms on the S-metric index. The other four multi-objective algorithms were Non-dominated Sorting Genetic Algorithm II(NSGA-II), Strength Pareto Evolutionary Algorithm 2(SPEA2), Pareto Envelope-based Selection Algorithm(PESA) and an Improved Strength Pareto Genetic Algorithm 2(SPGA2).
38999 实验结果表明，在解集质量、解集覆盖度方面，基于改进烟花算法的多目标多机器人任务分配方法具有明显的优势。 Experimental results shown that the proposed multi-objective multi-robot mission planning method based on improved fireworks algorithm has obvious advantages both in Pareto solution set quality and solution set scale.
39000 针对目前变换域通信系统面临的通信干扰对抗具有认知性、智能性的特点，急需智能的抗干扰策略以提升系统的适应性和可靠性。 In view of the cognitive and intelligent characteristics of communication interference countermeasures faced by communication systems in transformation domain, intelligent anti-interference strategies are urgently needed to improve the adaptability and reliability of the system.
39001 通过分析系统的变换域选择和干扰方式选择间的博弈对抗关系，提出了基于有限零和博弈和变换域优选的智能抗干扰策略。 By analyzing the game antagonism relation between the transformation domain selection and the interference mode selection, an intelligent anti-interference strategy based on finite zero sum game and transformation domain optimization is proposed.
39002 通过理论分析建立了变换域抗干扰博弈对抗模型，给出了纯策略和混合策略的纳什均衡解求解方法，并根据纳什均衡原理求解得出变换域智能抗干扰的最佳选择决策。 Based on the theoretical analysis, the anti-interference game model in the transformation domain is established, and the Nash equilibrium solution method of pure strategy and mixed strategy is given.
39003 仿真结果表明，该策略在完全信息情况下，面对新兴的认知干扰机可以实现变换域优选的智能抗干扰，使得误码率相较于最差情况有大幅度降低。 The simulation results show that this strategy can achieve optimal intelligent interference in the transform domain in the face of new cognitive jammer under the condition of complete information, which can greatly reduce the bit error rate compared with the worst case.
39004 同时，验证了基于博弈论分析变换域抗干扰的可行性，为进一步对提升变换域通信系统的战场通信抗干扰能力提供了理论支撑。 At the same time, the feasibility of analyzing the anti-jamming of the transform domain based on game theory is verified, which provides theoretical support for further improving the anti-jamming ability of the battlefield communication of the transform domain communication system.
39005 毫米波大规模多输入多输出(Multiple Input Multiple Output，MIMO)技术是第五代移动通信的关键技术之一， Millimeter wave massive multiple input multiple output(MIMO) technology is one of the key technologies of the fifth-generation of mobile communication.