A self‐adapting genetic algorithm for project scheduling under resource constraints

This papers deals with the classical resource‐constrained project scheduling problem (RCPSP). There, the activities of a project have to be scheduled subject to precedence and resource constraints. The objective is to minimize the makespan of the project. We propose a new heuristic called self‐adapting genetic algorithm to solve the RCPSP. The heuristic employs the well‐known activity list representation and considers two different decoding procedures. An additional gene in the representation determines which of the two decoding procedures is actually used to compute a schedule for an individual. This allows the genetic algorithm to adapt itself to the problem instance actually solved. That is, the genetic algorithm learns which of the alternative decoding procedures is the more successful one for this instance. In other words, not only the solution for the problem, but also the algorithm itself is subject to genetic optimization. Computational experiments show that the mechanism of self‐adaptation is capable to exploit the benefits of both decoding procedures. Moreover, the tests show that the proposed heuristic is among the best ones currently available for the RCPSP. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 433–448, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10029     

一种改善雷达测距测角精度的窄带补偿方法

多通道间幅相不一致会影响三维成像雷达的成像质量。针对步进频率体制三维成像雷达,分析了系统窄带部分通道间幅相不一致对目标三维(距离、方位角、俯仰角)成像的影响,并提出了一种基于中频注入补偿信号的补偿方法。     

激光辐射方位的确定技术

介绍了确定来袭激光束方位的成像技术、时间延迟技术和屏蔽技术的基本原理和发展现状;分析了3种技术的优缺点;探讨了来袭激光方位确定技术的发展方向.