机译:一种用于结构损伤检测的全局人工鱼群算法
College of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China,Department of Mechanics and Civil Engineering, Jinan University, Guangzhou 510632, China,MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou 510632, China;
College of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China,MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou 510632, China,Bridge Science Research Institute Ltd., China Railway Major Bridge Engineering Group, Wuhan 430034, China;
structural damage detection; global artificial fish swarm algorithm; constrained optimization problem; structural health monitoring; swarm intelligence;
机译:人工神经网络和最小二乘支持向量机结合粒子群和声搜索算法进行结构损伤检测
机译:使用混合人工鱼群算法的太阳能系统全局最大功率点跟踪
机译:使用混合人工鱼群算法的太阳能系统全局最大功率点跟踪
机译:基于人工鱼群优化和支持向量机的结构损伤识别新方法
机译:进化算法,混沌激励和结构健康监测:通过定制输入改进搜索损伤的全局搜索方法
机译:水下无线传感器网络中基于鱼群算法的人工鱼协同搜索与救援
机译:基于应变能量和微程人工鱼类群算法的结构多灾识别