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Game theory-based metaheuristics for structural design optimization
Computer-Aided Civil and Infrastructure Engineering ( IF 9.6 ) Pub Date : 2021-05-06 , DOI: 10.1111/mice.12661
Soroush Mahjoubi 1 , Yi Bao 1
Affiliation  

This paper presents game theory-based strategies incorporated with metaheuristics to improve the computation efficiency and effectiveness in design optimization of civil engineering structures. The idea is that a structural optimization problem can be treated as a multiplayer game with optimization algorithms as the players. This study presents an innovative mixed game strategy and provides insights into domain decomposition schemes. Based on game theory strategies, six modified metaheuristic algorithms are proposed and demonstrated through a case study of a 30-story mega-braced frame-core building with a complex configuration. Jaya algorithm is selected as the control to evaluate the proposed methods. The results show that the mixed game strategy helps reduce the computation cost by about 50%, while reducing the weights of the building by 4%, compared with the Jaya algorithm.

中文翻译:

基于博弈论的元启发式结构设计优化

本文提出了基于博弈论的策略与元启发式相结合,以提高土木工程结构设计优化的计算效率和有效性。这个想法是,可以将结构优化问题视为具有优化算法作为玩家的多人游戏。本研究提出了一种创新的混合博弈策略,并提供了对域分解方案的见解。基于博弈论策略,通过对具有复杂配置的 30 层巨型支撑框架核心建筑的案例研究,提出并展示了六种改进的元启发式算法。选择 Jaya 算法作为控制来评估所提出的方法。结果表明,混合博弈策略有助于降低约50%的计算成本,同时降低建筑重量4%,
更新日期:2021-05-06
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