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首页> 外文期刊>Aerospace science and technology >Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search
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Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search

机译：基于混合多目标进化算法和禁忌搜索的气动导弹综合制导律设计

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In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and the rules are obtained by solving a nonlinear constrained multi-objective optimization problem where final time, energy consumption, and miss distance are treated as competing objectives. Tabu search is proposed to build a library of initial feasible solutions for the multi-objective optimization algorithm. In addition, a hierarchical clustering technique is implemented to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. Moreover, a fuzzy-based mechanism is employed to extract the best compromise solution over the trade-off curve. The simulation results show that the proposed design technique was able to generate a missile guidance law with satisfactory performance with the existence of noisy measurements.
机译：本文提出了一种基于强度帕累托进化算法（SPEA）的方法来设计由三个模糊控制器组成的集成模糊制导律。这些控制器中的每一个都在拦截区域激活。隶属函数和规则的分布是通过解决非线性约束的多目标优化问题而获得的，在该问题中，最终时间，能耗和未命中距离被视为竞争目标。提出禁忌搜索为多目标优化算法建立初始可行解库。另外，实施了分层聚类技术，以为决策者提供代表性且可管理的帕累托最优集，而不会破坏权衡前沿的特征。此外，采用基于模糊的机制来提取折衷曲线上的最佳折衷解决方案。仿真结果表明，所提出的设计技术能够在存在噪声测量的情况下产生令人满意的导弹制导律。

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