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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyFinally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords: electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 133-150 doi: 10.1007/s11465-020-0610-6

Abstract: This study proposes a surface accuracy optimization approach for mechanical parts with multiple circularholes for AM based on triangular fuzzy number (TFN).

Keywords: surface accuracy optimization     multiple circular holes     additive manufacturing (AM)     part build orientation     triangular fuzzy number (TFN)     digital twins    

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 21-25

Abstract: considering each factor of urban public traffic line network,  the decision-making method for the optimizationof urban public traffic line network is set up by grey theory and fuzzy theory. This paper proposes to use interval numbers of three parameters to present grey fuzzy numbers. A comprehensive optimization method for urban public traffic line network is given by using theories It was applied to the practical optimization of urban public traffic line network in the city.

Keywords: public traffic line network     optimization     grey fuzzy numbers    

Multi-objective optimization of a 3D vaneless diffuser based on fuzzy theory

GAO Chuang, GU Chuangang, WANG Tong, SHU Xinwei

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 66-70 doi: 10.1007/s11708-008-0006-5

Abstract: An optimization model based on fuzzy theory was set up and the corresponding Interactive modified simplex

Keywords: Computational     pressure recovery     B-spline     technology     corresponding Interactive    

Integrated fuzzy lectotype optimization for pile-style foundations of offshore wind turbines

Zhai Gangjun,Li Yugang,Kang Haigui

Strategic Study of CAE 2010, Volume 12, Issue 11,   Pages 40-46

Abstract: difficulties met in conception design of offshore wind turbines foundations, a multi-level and multi-factor fuzzyoptimization model has been used in lectotype optimization of foundations.In order to decrease the subjective influences, the multi-level fuzzy optimization has been introducedConsidering various 13 factors of optimization objects and 4 design types of pile-style foundation, themethod has been successfully used to an offshore wind farm for the lectotype optimization of pile-style

Keywords: offshore wind turbines     pile-style foundation     lectotype optimization     fuzzy decision    

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: encompassing MTN’s structure provides a framework for multimodal processes scheduling treated in terms of optimizationof the AGVs fleet scheduling problem subject to fuzzy operation time constraints.

Keywords: Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: DFIG are strictly controlled at a required level, which, in this paper, is realized with an optimized fuzzy

Keywords: doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 65-69

Abstract:

Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selectiondynamic programming technique that can be used for the optimization of multi-objective and multi-stagesystems are developed by means of the combination of fuzzy optimum selection theory with dynamic programmingThis is a new methodology for solving the multi-objective optimization problems of multi-stage systemsFinally, an application to the optimization of a multiple reactor system is given as an example.

Keywords: multi-stage     multi-objective optimization     fuzzy optimum selection     dynamic programming     membership degree    

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: Furthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties andThe risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membershipFuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution

Keywords: Air pollution     Decision analysis     Linear programming     Mining     Optimization     Fuzzy     Monte Carlo    

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

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords: component     distributed energy resources     fuzzy optimization     loss reduction     interactive honey bee matingoptimization (IHBMO)     voltage deviation reduction     stochastic programming    

Study on Fuzzy Multi-objective SCE-UA Optimization Methodfor Rainfall-Runoff Models

Li Xiangyang,Cheng Chuntian,Wu Xinyu,Lin Jianyi

Strategic Study of CAE 2007, Volume 9, Issue 3,   Pages 52-57

Abstract: In this paper, a fuzzy multi-objective SCE-UA(FMOSCE-UA) optimization method for rainfall-runoff modelswhich combines advantages of Pareto ranking and fuzzy multi-objective optimization is developed to solvethe multi-objective optimization problem for hydrologic models.

Keywords: rainfall-runoff model     calibration     fuzzy multi-objective optimization     SCE-UA    

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract:

In this paper, a multi-objective optimization model is established for the investment plan and operationTo solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employedby a crowding distance operator, and the best compromised Pareto solution is determined based on the fuzzyan illustrative example, a hotel building is selected for study to verify the effectiveness of the optimizationthe numerical study indicate that the NSGA-II results in more diversified Pareto solutions and the fuzzy

Keywords: multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithmII     fuzzy set theory     Pareto optimal solution    

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 84-87

Abstract:

On the basis of analyzing characteristics of the central air-conditioning system, a fuzzy controllerweighting factor a and the output scaling gain Ku is adopted in the applied rule-adjustable fuzzyThe experimental result indicates that the optimization method enhances the robustness of the fuzzy controller

Keywords: central air-conditioning system     temperature control     fuzzy controller     parameter optimization    

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 33-41 doi: 10.15302/J-SSCAE-2018.02.006

Abstract: This paper proposes a novel method for rapid response to CRs in product optimization design via fuzzyThe first is classifying original complex CR data as a standard CR dataset by fuzzy clustering methodFinally, an example for product optimization design by forging a machine's main hydraulic cylinder

Keywords: rapid response to customer requirements     fuzzy clustering     requirements transformation     CA-QFD method     product optimization design    

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords: incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy roughentropy     fuzzy knowledge dependency    

Title Author Date Type Operation

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

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

Journal Article

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Journal Article

Multi-objective optimization of a 3D vaneless diffuser based on fuzzy theory

GAO Chuang, GU Chuangang, WANG Tong, SHU Xinwei

Journal Article

Integrated fuzzy lectotype optimization for pile-style foundations of offshore wind turbines

Zhai Gangjun,Li Yugang,Kang Haigui

Journal Article

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Journal Article

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Journal Article

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

Journal Article

Study on Fuzzy Multi-objective SCE-UA Optimization Methodfor Rainfall-Runoff Models

Li Xiangyang,Cheng Chuntian,Wu Xinyu,Lin Jianyi

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Journal Article

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article