A novel multi-hybrid differential evolution algorithm for optimization of frame structures
Abstract Differential evolution (DE) is a robust optimizer designed for solving complex domain research problems in the computational intelligence community.In dea eyewear the present work, a multi-hybrid DE (MHDE) is proposed for improving the overall working capability of the algorithm without compromising the solution quality.Adaptive parameters