System design deals with various challenges of targets and resources, such as reliability, availability, maintainability, cost, weight, volume, and configuration. This paper deals with the multi-objective system availability and cost optimization of parallel–series systems by resorting to the multi-objective strawberry algorithm also known as the Plant Propagation Algorithm or PPA and a fuzzy method. It is the first implementation of this optimization algorithm in the literature for this kind of problem to generate the Pareto Front. The fuzzy method allows helping the decision maker to select the best compromise solution. A numerical case study involving 10 subsystems highlights the applicability of the proposed approach.

系统设计应对目标和资源的各种挑战，例如可靠性，可用性，可维护性，成本，重量，体积和配置。本文通过采用多目标草莓算法（也称为植物传播算法或PPA）和模糊方法来处理并行系统的多目标系统可用性和成本优化。对于此类问题，生成帕累托前沿是该优化算法在文献中的第一个实现。模糊方法可以帮助决策者选择最佳的折衷解决方案。涉及10个子系统的数值案例研究突显了该方法的适用性。