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Memetic Computing Applied to the Design of Composite Materials and Structures

机译：模因计算在复合材料和结构设计中的应用

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Presently, there exists an important need for lighter and more resistant structures, with reduced manufacturing costs. Laminated polymers are materials which respond to these new demands. Main difficulties of the design process of a composite laminate include the necessity to design both the geometry of the element and the material configuration itself and, therefore, the possibilities of creating composite materials are almost unlimited. Many techniques, ranging from linear programming or finite elements to computational intelligence, have been used to solve this type of problems. The aim of this work is to show that more effective and dynamic methods to solve this type of problems are obtained by using certain techniques based on systematic exploitation of knowledge of the problem, together with the combination of metaheuristics based on population as well as on local search. With this objective, a memetic algorithm has been designed and compared with the main heuristics used in the design of laminated polymers in different scenarios. All solutions obtained have been validated by the ANSYS (R) software package.
机译：当前，迫切需要更轻，更耐用的结构，同时降低制造成本。层压聚合物是响应这些新要求的材料。复合材料层压板设计过程的主要困难包括必须同时设计元素的几何形状和材料结构本身，因此，制造复合材料的可能性几乎是无限的。从线性编程或有限元到计算智能的许多技术已用于解决此类问题。这项工作的目的是表明，通过基于对问题知识的系统开发，并结合基于人口和局部经验的元启发法的某些技术，可以获得解决此类问题的更有效和动态的方法。搜索。为此，设计了一种模因算法，并将其与在不同情况下设计层压聚合物时使用的主要启发式算法进行了比较。获得的所有解决方案均已通过ANSYS（R）软件包验证。

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