-
1
-
-
77957873490
-
A review of nature-inspired algorithms
-
H. Zang, S. Zhang, and K. Hapeshi A review of nature-inspired algorithms J. Bionic Eng. 7 S 2010 S232 S237
-
(2010)
J. Bionic Eng.
, vol.7
, Issue.S
-
-
Zang, H.1
Zhang, S.2
Hapeshi, K.3
-
2
-
-
84879491396
-
A swarm optimization algorithm inspired in the behavior of the social-spider
-
E. Cuevas, M. Cienfuegos, D. Zaldivar, and M. Perez-Cisneros A swarm optimization algorithm inspired in the behavior of the social-spider Expert Syst. Appl. 40 16 2013 6374 6384
-
(2013)
Expert Syst. Appl.
, vol.40
, Issue.16
, pp. 6374-6384
-
-
Cuevas, E.1
Cienfuegos, M.2
Zaldivar, D.3
Perez-Cisneros, M.4
-
3
-
-
0037475094
-
The particle swarm optimization algorithm: Convergence analysis and parameter selection
-
I.C. Trelea The particle swarm optimization algorithm: convergence analysis and parameter selection Inf. Process. Lett. 85 6 2003 317 325
-
(2003)
Inf. Process. Lett.
, vol.85
, Issue.6
, pp. 317-325
-
-
Trelea, I.C.1
-
6
-
-
0942269532
-
An ant colony system for permutation flow-shop sequencing
-
K.C. Ying, and C.J. Liao An ant colony system for permutation flow-shop sequencing Comput. Oper. Res. 31 5 2004 791 801
-
(2004)
Comput. Oper. Res.
, vol.31
, Issue.5
, pp. 791-801
-
-
Ying, K.C.1
Liao, C.J.2
-
7
-
-
35148821762
-
A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm
-
D. Karaboga, and B. Basturk A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm J. Global Optim. 39 3 2007 459 471
-
(2007)
J. Global Optim.
, vol.39
, Issue.3
, pp. 459-471
-
-
Karaboga, D.1
Basturk, B.2
-
8
-
-
34548479029
-
On the performance of artificial bee colony (ABC) algorithm
-
D. Karaboga, and B. Basturk On the performance of artificial bee colony (ABC) algorithm Appl. Soft Comput. 8 1 2008 687 697
-
(2008)
Appl. Soft Comput.
, vol.8
, Issue.1
, pp. 687-697
-
-
Karaboga, D.1
Basturk, B.2
-
9
-
-
79551685695
-
Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm
-
W. Shen, X. Guo, C. Wu, and D. Wu Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm Knowledge Based Syst. 24 3 2011 378 385
-
(2011)
Knowledge Based Syst.
, vol.24
, Issue.3
, pp. 378-385
-
-
Shen, W.1
Guo, X.2
Wu, C.3
Wu, D.4
-
10
-
-
84855993522
-
Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect
-
X.S. Yang, S.S.S. Hosseini, and A.H. Gandomi Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect Appl. Soft Comput. 12 3 2012 1180 1186
-
(2012)
Appl. Soft Comput.
, vol.12
, Issue.3
, pp. 1180-1186
-
-
Yang, X.S.1
Hosseini, S.S.S.2
Gandomi, A.H.3
-
11
-
-
27944498182
-
Animal search strategies: A quantitative random walk analysis
-
F. Bartumeus, M.G.E. da Luz, G.M. Viswanathan, and J. Catalan Animal search strategies: a quantitative random walk analysis Ecology 86 11 2005 3078 3087
-
(2005)
Ecology
, vol.86
, Issue.11
, pp. 3078-3087
-
-
Bartumeus, F.1
Da Luz, M.G.E.2
Viswanathan, G.M.3
Catalan, J.4
-
12
-
-
55849107781
-
Free-flight odor tracking in Drosophila is consistent with an optimal intermittent scale-free search
-
A.M. Reynolds, and M.A. Frye Free-flight odor tracking in Drosophila is consistent with an optimal intermittent scale-free search PLOS ONE 2 4 2007 e354
-
(2007)
PLOS ONE
, vol.2
, Issue.4
, pp. 354
-
-
Reynolds, A.M.1
Frye, M.A.2
-
13
-
-
79957831224
-
A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application
-
Z.Z. Abidin, M.R. Arshad, and U.K. Ngah A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application Indian J. Geo-Mar. Sci. 40 2 2011 250 266
-
(2011)
Indian J. Geo-Mar. Sci.
, vol.40
, Issue.2
, pp. 250-266
-
-
Abidin, Z.Z.1
Arshad, M.R.2
Ngah, U.K.3
-
14
-
-
84155181068
-
A new fruit fly Optimization algorithm: Taking the financial distress model as an example
-
W.T. Pan A new fruit fly Optimization algorithm: taking the financial distress model as an example Knowledge Based Syst. 26 2012 69 74
-
(2012)
Knowledge Based Syst.
, vol.26
, pp. 69-74
-
-
Pan, W.T.1
-
15
-
-
84874019736
-
Analysis of service satisfaction in web auction logistics service using a combination of fruit fly optimization algorithm and general regression neural network
-
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 3-4 2013 783 791
-
(2013)
Neural Comput. Appl.
, vol.22
, Issue.34
, pp. 783-791
-
-
Lin, S.M.1
-
16
-
-
84870024579
-
A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
-
H. Li, S. Guo, C. Li, and J. Sun A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm Knowledge Based Syst. 37 2013 378 387
-
(2013)
Knowledge Based Syst.
, vol.37
, pp. 378-387
-
-
Li, H.1
Guo, S.2
Li, C.3
Sun, J.4
-
17
-
-
84896694126
-
Using fruit fly optimization algorithm optimized grey model neural network to perform satisfaction analysis for e-business service
-
P.W. Chen, W.Y. Lin, T.H. Huang, and 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 2 2013 459 465
-
(2013)
Appl. Math. Inf. Sci.
, vol.7
, Issue.2
, pp. 459-465
-
-
Chen, P.W.1
Lin, W.Y.2
Huang, T.H.3
Pan, W.T.4
-
18
-
-
84866347982
-
A novel modified fly optimization algorithm for designing the self-tuning proportional integral derivative controller
-
C. Li, S. Xu, W. Li, and L. Hu A novel modified fly optimization algorithm for designing the self-tuning proportional integral derivative controller J. Convergence Inf. Technol. 7 16 2012 69 77
-
(2012)
J. Convergence Inf. Technol.
, vol.7
, Issue.16
, pp. 69-77
-
-
Li, C.1
Xu, S.2
Li, W.3
Hu, L.4
-
19
-
-
84877835424
-
Design and optimization of key control characteristics based on improved fruit fly optimization algorithm
-
Y.F. Xing Design and optimization of key control characteristics based on improved fruit fly optimization algorithm Kybernetes 42 3 2013 466 481
-
(2013)
Kybernetes
, vol.42
, Issue.3
, pp. 466-481
-
-
Xing, Y.F.1
-
20
-
-
84887866780
-
Using modified fruit fly optimisation algorithm to perform the function test and case studies
-
W.T. Pan Using modified fruit fly optimisation algorithm to perform the function test and case studies Connection Sci. 25 2-3 2013 151 160
-
(2013)
Connection Sci.
, vol.25
, Issue.23
, pp. 151-160
-
-
Pan, W.T.1
-
21
-
-
84878440785
-
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem
-
L. Wang, X.L. Zheng, and S.Y. Wang A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem Knowledge Based Syst. 48 2013 17 23
-
(2013)
Knowledge Based Syst.
, vol.48
, pp. 17-23
-
-
Wang, L.1
Zheng, X.L.2
Wang, S.Y.3
-
22
-
-
84885639395
-
LGMS-FOA: An improved fruit fly optimization algorithm for solving optimization problems
-
D. Shan, G.H. Cao, and H.J. Dong LGMS-FOA: an improved fruit fly optimization algorithm for solving optimization problems Math. Prob. Eng. 37 2013 1 9
-
(2013)
Math. Prob. Eng.
, vol.37
, pp. 1-9
-
-
Shan, D.1
Cao, G.H.2
Dong, H.J.3
-
23
-
-
34247096005
-
On the efficiency of chaos optimization algorithms for global optimization
-
D.X. Yang, G. Li, and G.D. Cheng On the efficiency of chaos optimization algorithms for global optimization Chaos Solitons Fractals 34 4 2007 1366 1375
-
(2007)
Chaos Solitons Fractals
, vol.34
, Issue.4
, pp. 1366-1375
-
-
Yang, D.X.1
Li, G.2
Cheng, G.D.3
-
24
-
-
84870057221
-
Improved parallel chaos optimization algorithm
-
X.F. Yuan, Y.M. Yang, and H. Wang Improved parallel chaos optimization algorithm Appl. Math. Comput. 219 8 2012 3590 3599
-
(2012)
Appl. Math. Comput.
, vol.219
, Issue.8
, pp. 3590-3599
-
-
Yuan, X.F.1
Yang, Y.M.2
Wang, H.3
-
25
-
-
79551644528
-
Particle swarm optimization: Hybridization perspectives and experimental illustrations
-
R. Thangaraj, M. Pant, A. Abraham, and P. Bouvry Particle swarm optimization: hybridization perspectives and experimental illustrations Appl. Math. Comput. 217 12 2011 5208 5226
-
(2011)
Appl. Math. Comput.
, vol.217
, Issue.12
, pp. 5208-5226
-
-
Thangaraj, R.1
Pant, M.2
Abraham, A.3
Bouvry, P.4
-
26
-
-
34248143032
-
Covariance matrix adaptation for multi-objective optimization
-
C. Igel, N. Hansen, and S. Roth Covariance matrix adaptation for multi-objective optimization Evol. Comput. 15 1 2007 1 28
-
(2007)
Evol. Comput.
, vol.15
, Issue.1
, pp. 1-28
-
-
Igel, C.1
Hansen, N.2
Roth, S.3
-
27
-
-
33847199831
-
Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems
-
J. Brest, S. Greiner, B. Boskovic, M. Mernik, and V. Zumer Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems IEEE Trans. Evol. Comput. 10 6 2006 646 657
-
(2006)
IEEE Trans. Evol. Comput.
, vol.10
, Issue.6
, pp. 646-657
-
-
Brest, J.1
Greiner, S.2
Boskovic, B.3
Mernik, M.4
Zumer, V.5
-
28
-
-
27144475732
-
Self-adaptive differential evolution algorithm for numerical optimization
-
A.K. Qin, P.N. Suganthan, Self-adaptive differential evolution algorithm for numerical optimization, in: Proc. 2005 IEEE Cong. Evol. Comput. 2 (2005) 1785-1791.
-
(2005)
Proc. 2005 IEEE Cong. Evol. Comput.
, vol.2
, pp. 1785-1791
-
-
Qin, A.K.1
Suganthan, P.N.2
-
29
-
-
84865362316
-
An improved chaos optimization algorithm-based parameter identification of synchronous generator
-
Q. Zhu, X.F. Yuan, and H. Wang An improved chaos optimization algorithm-based parameter identification of synchronous generator Electr. Eng. 94 3 2012 147 153
-
(2012)
Electr. Eng.
, vol.94
, Issue.3
, pp. 147-153
-
-
Zhu, Q.1
Yuan, X.F.2
Wang, H.3
|