Genetic algorithm optimization and blending of composite laminates by locally reducing laminate thickness

摘要: Composite panel structure optimization is commonly decomposed into subproblems, with specified local loads, resulting in manufacturing incompatibilities between adjacent designs. A new method proposed here for constructing globally blended designs uses a parallel decomposition antithetical to that of earlier work. Rather than performing concurrent genetic optimizations, single conducted the entire parallelism solely within fitness evaluations. algorithm approach, based on locally reducing thick (guide) laminate, introduced exclusively generate and evaluate valid designs, utilizing simple master-slave implementation, implicitly size problem design space increasing quality discovered optima.