CLC number: TP18;TN967.2
On-line Access: 2022-04-21
Received: 2020-10-13
Revision Accepted: 2021-02-19
Crosschecked: 2022-05-04
Cited: 0
Clicked: 4614
Mingtao DONG, Jianhua CHENG, Lin ZHAO. A combination weighting model based on iMOEA/D-DE[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2000545 @article{title="A combination weighting model based on iMOEA/D-DE", %0 Journal Article TY - JOUR
基于iMOEA/D-DE的组合权重模型哈尔滨工程大学智能科学与工程学院,中国哈尔滨市,150001 摘要:为准确求解评估方法的权重,提出一种基于iMOEA/D-DE(基于差分进化分解的改进多目标进化算法)的组合权重模型。多专家权重仅考虑主观权重,导致客观性差。为解决此问题,考虑组合系数的不确定性,设计了基于改进博弈论的组合权重多目标优化模型。引入改进变异算子提高收敛速度,进而获得更好优化结果。同时,设计了具有自学习能力的自适应变异系数和交叉概率系数,以提高MOEA/D-DE算法的鲁棒性。由于现有权重评价方法不能单独评价权重,提出一种基于相对熵的新权重评价方法。以组合导航系统评估方法为例开展实验。实验证明,该算法具有良好性能。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Al-Dabbagh RD, Neri F, Idris N, et al., 2018. Algorithmic design issues in adaptive differential evolution schemes: review and taxonomy. Swarm Evol Comput, 43:284-311. [2]Cai XY, Xiao YS, Li MQ, et al., 2021. A grid-based inverted generational distance for multi/many-objective optimization. IEEE Trans Evol Comput, 25(1):21-34. [3]Cheng JH, Dong MT, Liu JX, 2019a. Accuracy performance evaluation method of integrated navigation system based on two-level FCE. Chinese Control Conf, p.3869-3874. [4]Cheng JH, Dong MT, Qi B, 2019b. An OW-FCE model based on MDE algorithm for evaluating integrated navigation system. IEEE Access, 7:178918-178929. [5]Cheng JH, Dong MT, Zhao L, 2021. A combination weight method based on MOEA/D. Contr Decis, 36(12):3056-3062 (in Chinese). [6]Dai SY, Niu DX, 2017. Comprehensive evaluation of the sustainable development of power grid enterprises based on the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method. Sustainability, 9(10):1900. [7]Das S, Suganthan PN, 2011. Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput, 15(1):4-31. [8]Deb K, Pratap A, Agarwal S, et al., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput, 6(2):182-197. [9]Ding JL, Chen JX, Ma XR, 2020. Multi-objective optimization of light oil production in atmospheric distillation column based on self-adaptive differential evolution. Contr Decis, 35(3):604-612 (in Chinese). [10]Dong PY, Wang HW, Chen Y, 2020. GRA-TOPSIS emitter threat assessment method based on game theory. J Beijing Univ Aeronaut Astronaut, 46(10):1973-1981 (in Chinese). [11]Fan QQ, Yan XF, 2016. Self-adaptive differential evolution algorithm with zoning evolution of control parameters and adaptive mutation strategies. IEEE Trans Cybern, 46(1):219-232. [12]Ishibuchi H, Imada R, Setoguchi Y, et al., 2018. Reference point specification in inverted generational distance for triangular linear Pareto front. IEEE Trans Evol Comput, 22(6):961-975. [13]Jiao JL, Ren HL, Sun SZ, 2016. Assessment of surface ship environment adaptability in seaways: a fuzzy comprehensive evaluation method. Int J Nav Arch Ocean Eng, 8(4):344-359. [14]Lai CG, Chen XH, Chen XY, et al., 2015. A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory. Nat Hazards, 77(2):1243-1259. [15]Li AH, 2017. Research on Safety Assessment Methods of Quayside Container Crane. PhD Thesis, Wuhan University of Technology, Wuhan, China(in Chinese). [16]Li H, Zhang QF, 2009. Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II. IEEE Trans Evol Comput, 13(2):284-302. [17]Li YZ, Wang SH, Yang B, 2020. An improved differential evolution algorithm with dual mutation strategies collaboration. Expert Syst Appl, 153:113451. [18]Liu HJ, Hu YR, 2015. An evaluating method with combined assigning-weight based on maximizing variance. Sci Program, 2015:290379. [19]Lv LS, Deng ZH, Meng HJ, et al., 2020. A multi-objective decision-making method for machining process plan and an application. J Clean Prod, 260:121072. [20]Pan XX, Liu H, Huan JJ, et al., 2020. Allocation model of carbon emission permits for the electric power industry with a combination subjective and objective weighting approach. Energies, 13:706. [21]Shi L, Yang SL, Ma Y, et al., 2012. A novel method of combination weighting for multiple attribute decision making. J Syst Eng, 27(4):481-491 (in Chinese). [22]Song GX, Yang DL, 2004. Combination weighting approach based on the decision-maker’s preference and consistency of weighting methods. Syst Eng Electron, 26(9):1226-1230, 1290 (in Chinese). [23]Sun LJ, Liu YY, Zhang BY, et al., 2016. An integrated decision-making model for transformer condition assessment using game theory and modified evidence combination extended by D numbers. Energies, 9(9):697. [24]Sun YN, Yen GG, Yi Z, et al., 2019. IGD indicator-based evolutionary algorithm for many-objective optimization problems. IEEE Trans Evol Comput, 23(2):173-187. [25]Tian Y, Zhang XY, Cheng R, et al., 2016. A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. IEEE Congress on Evolutionary Computation, p.5222-5229. [26]Wang XL, Wang X, Zhu JF, et al., 2017. A hybrid fuzzy method for performance evaluation of fusion algorithms for integrated navigation system. Aerosp Sci Technol, 69:226-235. [27]Wang Y, Cai ZX, Zhou YR, et al., 2009. Constrained optimization evolutionary algorithms. J Softw, 20(1):11-29 (in Chinese). [28]Wu LH, Wang YN, Yuan XF, et al., 2013. Fast self-adaptive differential evolution algorithm for power economic load dispatch. Contr Decis, 28(4):557-562 (in Chinese). [29]Xu ZS, Cai XQ, 2012. Minimizing group discordance optimization model for deriving expert weights. Group Decis Negot, 21(6):863-875. [30]Yang B, Lai CG, Chen XH, et al., 2018. Surface water quality evaluation based on a game theory-based cloud model. Water, 10(4):510. [31]Ye HT, Luo F, Xu YG, 2013. Differential evolution for solving multi-objective optimization problems: a survey of the state-of-the-art. Contr Theory Appl, 30(7):922-928 (in Chinese). [32]Yin FL, Lu L, Chai JP, et al., 2016. Combination weighting method based on maximizing deviations and normalized constraint condition. Int J Secur Its Appl, 10(2):39-50. [33]Zhang CM, Chen J, Xin B, 2014. Distributed differential evolution algorithm with adaptive parameters. Contr Decis, 29(4):701-706 (in Chinese). [34]Zhang QF, Li H, 2007. MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput, 11(6):712-731. [35]Zhang ZC, Chen L, 2018. Analysis on decision-making model of plan evaluation based on grey relation projection and combination weight algorithm. J Syst Eng Electron, 29(4):789-796. [36]Zhou RX, Pan ZW, Jin JL, et al., 2017. Forewarning model of regional water resources carrying capacity based on combination weights and entropy principles. Entropy, 19(11):574. [37]Zhou YF, Wei FJ, 2006. Combination weighting approach in multiple attribute decision making based on relative entropy. Oper Res Manag Sci, 15(5):48-53 (in Chinese). [38]Zhu XC, Niu DP, Wang X, et al., 2019. Comprehensive energy saving evaluation of circulating cooling water system based on combination weighting method. Appl Therm Eng, 157:113735. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE |
Open peer comments: Debate/Discuss/Question/Opinion
<1>