An effective and efficient fruit fly optimization algorithm with level probability policy and its applications

Knowledge-Based Systems

Volumn 97, Issue , 2016, Pages 158-174

  Wang, Lin ^a   Liu, Rui ^a   Liu, Shan ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Continuous function problem; Fruit fly optimization algorithm; Joint replenishment problems; Level probability

Indexed keywords

ALGORITHMS; BENCHMARKING; COMBINATORIAL OPTIMIZATION; EVOLUTIONARY ALGORITHMS; FRUITS; FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO); PROBABILITY;

COMBINATORIAL OPTIMIZATION PROBLEMS; COMPLEX OPTIMIZATION PROBLEMS; CONTINUOUS FUNCTIONS; DIFFERENTIAL EVOLUTION ALGORITHMS; FRUIT FLIES; FRUIT FLY OPTIMIZATION ALGORITHM (FOA); JOINT REPLENISHMENT PROBLEM; PARTICLE SWARM OPTIMIZATION ALGORITHM;

OPTIMIZATION;

EID: 84960121046     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2016.01.006     Document Type: Article

References (38)

1. E. Arkin, D. Joneja, R. Roundy Computational complexity of uncapacitated multi-echelon production planning problems Oper. Res. Lett. 8 1989 61 66
2. P.W. Chen, W.Y. Lin, T.H. Huang, W.T. Pan Using fruit fly optimization algorithm optimized grey model neural network to perform satisfaction analysis for e-business service Appl. Math. Inf. Sci. 7 2013 459 465
3. L.G. Cui, L. Wang, J. Deng RFID technology investment evaluation model for the stochastic joint replenishment and delivery problem Expert Syst. Appl. 41 2014 1792 1805
4. H. Dai, A. Liu, J. Lu, S. Dai, X. Wu, Y. Sun Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm Optik-Int. J. Light Electron Opt. 126 2014 490 493
5. R.Y. Fung, X. Ma A new method for joint replenishment problems J. Oper. Res. Soc. 52 2001 358 362
6. S.K. Goyal Determination of optimum packaging frequency of items jointly replenished Manag. Sci. 21 1974 436 443
7. S.K. Goyal, A.T. Satir Joint replenishment inventory control: Deterministic and stochastic models Eur. J. Oper. Res. 38 1989 2 13
8. Z. He, H. Qi, Y. Yao, L. Ruan Inverse estimation of the particle size distribution using the fruit fly optimization algorithm Appl. Therm. Eng. 88 2015 306 314
9. M. Khouja, S.K. Goyal A review of the joint replenishment problem literature: 1989-2005 Eur. J. Oper. Res. 186 2008 1 16
10. H. Li, S. Guo, H. Zhao, C. Su, B. Wang Annual electric load forecasting by a least squares support vector machine with a fruit fly optimization algorithm Energies 5 2012 4430 4445
11. H.Z. Li, S. Guo, C.J. Li, J.Q. Sun A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm Knowl. Based Syst. 37 2013 378 387
12. J.Q. Li, Q.K. Pan, K. Mao, P.N. Suganthan Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm Knowl. Based Syst. 72 2014 28 36
13. S.M. Lin Analysis of service satisfaction in web auction logistics service using a combination of fruit fly optimization algorithm and general regression neural network Neural Comput. Appl. 22 2013 783 791
14. S. Liu, L. Wang User liaisons'perspective on behavior and outcome control in IT projects: Role of IT experience, behavior observability, and outcome measurability Manag. Dec. 52 6 2014 1148 1173
15. I.K. Moon, B.C. Cha The joint replenishment problem with resource restriction Eur. J. Oper. Res. 173 2006 190 198
16. Q.K. Pan, H.Y. Sang, J.H. Duan, L. Gao An improved fruit fly optimization algorithm for continuous function optimization problems Knowl. Based Syst. 62 2014 69 83
17. W.T. Pan A new fruit fly optimization algorithm: taking the financial distress model as an example Knowl. Based Syst. 26 2012 69 74
18. W.T. Pan Using modified fruit fly optimization algorithm to perform the function test and case studies Connect. Sci. 25 2013 151 160
19. H. Qu, L. Wang, R. Liu A contrastive study of the stochastic location-inventory problem with joint replenishment and independent replenishment Expert Syst. Appl. 42 2015 2061 2072
20. H. Qu, L. Wang, Y.R. Zeng Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items Knowl. Based Syst. 54 2013 207 215
21. W.W. Qu, J.H Bookbinder, P. Iyogun An integrated inventory-transportation system with modified periodic policy for multiple products Eur. J. Oper. Res. 115 1999 254 269
22. L.B. Schwarz A simple continuous review deterministic one-warehouse N-retailer inventory problem Manag. Sci. 19 1973 555 566
23. D. Shan, G. Cao, H. Dong LGMS-FOA: an improved fruit fly optimization algorithm for solving optimization problems Math. Probl. Eng. 2013 1 9. http://dx.doi.org/10.1155/2013/108768 (Article ID 108768)
24. W. Sheng, Y. Bao Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle Nonlinear Dyn. 73 2013 611 619
25. F.T. Shu Economic ordering frequency for two items jointly replenished Manag. Sci. 17 1971 B406 B410
26. M.J.G. Van Eijs A note on the joint replenishment problem under constant demand J. Oper. Res. Soc. 44 1993 185 191
27. L. Wang, C.X. Dun, W.J. Bi, Y.R. Zeng An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model Knowl. Based Syst. 36 2012 104 114
28. L. Wang, C.X. Dun, C.G. Lee, Q.L. Fu, Y.R. Zeng Model and algorithm for fuzzy joint replenishment and delivery scheduling without explicit membership function Int. J. Adv. Manuf. Technol. 66 2013 1907 1920
29. L. Wang, Q.L. Fu, C.G. Lee, Y.R. Zeng Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal Knowl. Based Syst. 39 2013 57 66
30. L. Wang, J. He, D.S. Wu, Y.R. Zeng A novel differential evolution algorithm for joint replenishment problem under interdependence and its application Int. J. Prod. Econ. 135 2012 190 198
31. L. Wang, H. Qu, S. Liu, C. Chen Optimizing the joint replenishment and channel coordination problem under supply chain environment using a simple and effective differential evolution algorithm Disc. Dyn. Nat. Soc. 2014 1 12. http://dx.doi.org/10.1155/2014/709856 (Article ID 709856)
32. L. Wang, Y.L. Shi, S. Liu An improved fruit fly optimization algorithm and its application to joint replenishment problems Expert Syst. Appl. 42 2015 4310 4323
33. L. Wang, Z.G. Wang, S. Liu An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm Expert Syst. Appl. 43 2016 237 249
34. L. Wang, X.L. Zheng, S.Y. Wang A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem Knowl. Based Syst. 48 2013 17 23
35. Y. Xing Design and optimization of key control characteristics based on improved fruit fly optimization algorithm Kybernetes 42 2013 466 481
36. X. Yuan, X. Dai, J. Zhao, Q. He On a novel multi-swarm fruit fly optimization algorithm and its application Appl. Math. Comput. 233 2014 260 271
37. Y.R. Zeng, L. Wang, X.H. Xu An integrated model to select an ERP system for Chinese small- and medium-sized enterprise under uncertainty (in press) Technol. Econ. Dev. Econ. 2015. http://dx.doi.org/10.3846/20294913.2015.1072748
38. X. Zheng, L. Wang, S. Wang A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem Knowl. Based Syst. 57 2014 95 103