Authors: Z Fawaz YG Xu K Behdinan
Publish Date: 2005/05/13
Volume: 30, Issue: 3, Pages: 219-226
Abstract
This paper introduces a new evolutionary algorithm with a globally stochastic but locally heuristic search strategy It is implemented by incorporating a modified microgenetic algorithm with two local optimization operators Performance tests using two benchmarking functions demonstrate that the new algorithm has excellent convergence performance when applied to multimodal optimization problems The number of objective function evaluations required to obtain global optima is only 35–37 of that of using the conventional microgenetic algorithm The new algorithm is used to optimize the design of an 18bar truss with the aim of minimizing its weight while meeting the stress section area and geometry constraints The corresponding optimal design is obtained with considerably fewer computational operations than required for the existing algorithms
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