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Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization

机译:自由式RAP和声搜索(FRHS)用于工程问题优化

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A maximum benefit with minimum cost has been pursued in the optimal design of water distribution systems (WDSs). For this problem, trial-and-error methods, mathematical approaches, dynamic programming, and meta-heuristic techniques have been proposed while satisfying all the hydraulic constraints such as minimum pressure and demand. Recently, various variants of HSA mostly with multiple harmony memories and hierarchical memories have drawn a lot of attention because of their promising search. In this study, we propose a new version of HSA, freestyle rap harmony search (FRHS), with multiple memories among which different types of solutions are shuffled. The core properties of Freestyle rap are Rhyme, Flow, and Punch line. In FRHS algorithm, multiple Harmony Memories (HMs) are created as flow property in freestyle rap. When the value of the number of solution vector generations (NSVG) is above a certain value as a parameter, the bad solution of each HM is replaced by the good solution of the neighboring HM. The movement of the harmony memory vector is like a rhyme property with similar pronunciation repeated. When NSVG is above a certain value as a parameter, this condition is the same as the property of the punch line, the most shocking part of the freestyle rap. First, to check the performance of the algorithm, FRHS is applied to the least-cost design of WDSs. The performance of FRHS and HS is evaluated by how fast to find nearly global optimal solution. FRHS converges to the nearly global optimal solution faster than HS.
机译:在水分配系统(WDSS)的最佳设计中,最大限度地利用了最低成本。对于该问题,已经提出了试验和错误方法,数学方法,动态编程和元启发式技术,同时满足所有液压约束,例如最小压力和需求。最近,由于他们有希望的搜索,HSA主要具有多个和谐记忆和分层记忆的各种变种。在这项研究中,我们提出了一个新版本的HSA,自由式RAP和声搜索(FRHS),具有多个存储器,其中包括不同类型的解决方案。自由式RAP的核心属性是押韵,流量和冲床。在FRHS算法中,多个和谐记忆(HMS)被创建为Freestyle Rap中的流量属性。当解决方案向量世(NSVG)的数量的值高于一定值作为参数时,每个HM的错误解决方案被相邻HM的良好解决方案替换。和谐记忆矢量的运动就像一个押韵属性,具有相似的发音。当NSVG高于一定值作为参数时,这种情况与打孔线的属性相同,自由式RAP的最震撼部分。首先,为了检查算法的性能,将FRHS应用于WDS的最低成本设计。 FRHS和HS的性能是通过查找近全球最佳解决方案的速度进行评估。 FRHS会收敛到几乎全局最佳解决方案,比HS更快。

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