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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
《机械工程前沿(英文)》 2013年 第8卷 第4期 页码 429-442 doi: 10.1007/s11465-013-0277-3
Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.
关键词: electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)
Jinghua XU, Hongsheng SHENG, Shuyou ZHANG, Jianrong TAN, Jinlian DENG
《机械工程前沿(英文)》 2021年 第16卷 第1期 页码 133-150 doi: 10.1007/s11465-020-0610-6
关键词: surface accuracy optimization multiple circular holes additive manufacturing (AM) part build orientation triangular fuzzy number (TFN) digital twins
邓卫,胡启洲
《中国工程科学》 2007年 第9卷 第11期 页码 21-25
在考虑信息不完全的情况下,用灰色模糊数对公交线网优化问题进行了研究。在给出了公交线网优化的约束条件与优化目标的基础上,利用灰色模糊数建立了公交线网优化的决策模型。灰色模糊数是用三参数区间参与优化过程,在允许参数在一定范围内变化的情况下,计算后得到的结果是一个区间向量,其中向量值最大的为所求结果,适用于城市公交线网的优化问题。实例应用分析表明,优化后的公交线网效率提高,可达性良好,可满足城市公交可持续发展的要求。
Multi-objective optimization of a 3D vaneless diffuser based on fuzzy theory
GAO Chuang, GU Chuangang, WANG Tong, SHU Xinwei
《能源前沿(英文)》 2008年 第2卷 第1期 页码 66-70 doi: 10.1007/s11708-008-0006-5
关键词: Computational pressure recovery B-spline technology corresponding Interactive
翟钢军,李玉刚,康海贵
《中国工程科学》 2010年 第12卷 第11期 页码 40-46
针对海上风机基础设计中经常遇到复杂的方案优化选型问题,将多因素、多级模糊优选理论引入到基础的设计选型中。针对影响因素复杂、确定隶属函数主观因素较强的情况, 成功引入因素的优先关系法来确定优选矩阵的隶属度, 较好地解决了确定隶属函数的人为影响。通过此优选模型成功地将影响基础设计选型的13 种主要因素和4 种桩基基础设计形式进行了多级模糊综合优选决策,得到了比较理想的决策结果, 为海上风机基础设计选型提供了新的思路。
Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK
《信息与电子工程前沿(英文)》 2016年 第17卷 第4期 页码 338-347 doi: 10.1631/FITEE.1500359
关键词: Automated guided vehicles (AGVs) Scheduling Multimodal process Fuzzy constraints Optimization
Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR
《能源前沿(英文)》 2013年 第7卷 第1期 页码 49-55 doi: 10.1007/s11708-012-0217-7
关键词: doubly-fed induction generator (DFIG) vector control fuzzy logic controller optimization power factor unity active and reactive power
Zunaira Asif, Zhi Chen
《环境科学与工程前沿(英文)》 2019年 第13卷 第5期 doi: 10.1007/s11783-019-1156-x
关键词: Air pollution Decision analysis Linear programming Mining Optimization Fuzzy Monte Carlo
Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI
《能源前沿(英文)》 2014年 第8卷 第4期 页码 412-425 doi: 10.1007/s11708-014-0315-9
关键词: component distributed energy resources fuzzy optimization loss reduction interactive honey bee mating optimization (IHBMO) voltage deviation reduction stochastic programming
李向阳,程春田,武新宇,林剑艺
《中国工程科学》 2007年 第9卷 第3期 页码 52-57
在SCE-UA算法的基础上,结合Pareto排序和模糊多目标优选的优点,提出了水文模型模糊多目标 SCE-UA(FMOSCE-UA)参数率定方法。目标函数综合考虑了洪峰流量、水量平衡、峰现时间以及流量过程均 方差等水文过程的不同要素,使得优选的参数更能反映流域水文特征。双牌水库实例研究结果表明FMOSCE- UA优于标准SCE-UA算法,优选参数完全可以用于实际洪水预报。
Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm
Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU
《能源前沿(英文)》 2018年 第12卷 第4期 页码 518-528 doi: 10.1007/s11708-018-0594-7
In this paper, a multi-objective optimization model is established for the investment plan and operation management of a hybrid distributed energy system. Considering both economic and environmental benefits, the overall annual cost and emissions of CO2 equivalents are selected as the objective functions to be minimized. In addition, relevant constraints are included to guarantee that the optimized system is reliable to satisfy the energy demands. To solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employed to derive a set of non-dominated Pareto solutions. The diversity of Pareto solutions is conserved by a crowding distance operator, and the best compromised Pareto solution is determined based on the fuzzy set theory. As an illustrative example, a hotel building is selected for study to verify the effectiveness of the optimization model and the solving algorithm. The results obtained from the numerical study indicate that the NSGA-II results in more diversified Pareto solutions and the fuzzy set theory picks out a better combination of device capacities with reasonable operating strategies.
关键词: multi-objective optimization hybrid distributed energy system non-dominated sorting generic algorithm II fuzzy set theory Pareto optimal solution
吴爱国,杜春燕,宋晓强
《中国工程科学》 2004年 第6卷 第11期 页码 84-87
在中央空调温度控制系统中设计应用了一种参数自寻优模糊控制器。针对中央空调温度控制系统被控对象非线性、大滞后和时变等特点,该模糊控制器在规则可调整模糊控制器基础上引入了加权因子α和比例因子Ku的在线调整优化算法。运行结果表明,这种算法增强了系统的鲁棒性,在不同工作条件下,系统保持了良好的控制品质。
李汝鹏,魏巍,周峰,邹成
《中国工程科学》 2018年 第20卷 第2期 页码 33-41 doi: 10.15302/J-SSCAE-2018.02.006
面向客户需求是企业在当前竞争激烈的市场环境下成功的关键。本文提出了一种快速响应客户需求的产品优化设计方法,通过基于模糊相似理论的需求信息模糊聚类方法,对具有模糊性和多样性的原始客户需求信息进行精简分类处理,以获取客户需求集合;然后构建了一种综合联合分析法(CA)和质量功能展开(QFD)的全新CA-QFD需求转化方法,从客户需求到产品设计属性进行精确转化,并通过对实例产品的优化设计,实现快速响应客户需求;最后,通过锻压机主工作液压缸的优化设计实例,验证了本文方法的可行性和适用性。
标题 作者 时间 类型 操作
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
期刊论文
Surface accuracy optimization of mechanical parts with multiple circular holes for additive manufacturingbased on triangular fuzzy number
Jinghua XU, Hongsheng SHENG, Shuyou ZHANG, Jianrong TAN, Jinlian DENG
期刊论文
Multi-objective optimization of a 3D vaneless diffuser based on fuzzy theory
GAO Chuang, GU Chuangang, WANG Tong, SHU Xinwei
期刊论文
Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach
Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK
期刊论文
Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed
Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR
期刊论文
An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit
Zunaira Asif, Zhi Chen
期刊论文
Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energyresources using interactive honey bee mating optimization
Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI
期刊论文
Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm
Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU
期刊论文