TY  - JOUR
AB  - Purpose– To solve the water resources deployment problem which is a multi‐objective nonlinear problem with the characteristic of space‐time variability, involving many factors, such as economy, society, ecology, environment and projects.Design/methodology/approach– Coupling the characteristic of multi‐objective with chaotic optimization, a multi‐objective chaotic optimization algorithm (MCOA) is proposed for optimal water resources deployment. The algorithm magnifies the chaotic series generated by logistic mapping to the feasible region, and seeks the best results by iterative comparison which can avoid the difficulties that objective functions and the constraints should be continuous and differentiable. MCOA is a global optimization method and has high efficiency.Findings– The proposed algorithm is applied to the optimal deployment of water resources in a certain river basin. The rationality of results is verified by the entropy change theory. The results indicate that the optimal water resources deployment can be realized using the proposed algorithm in a more rational way.Research limitations/implications– The numbers and the bounds of variables are the main limitations which the algorithm will be applied.Practical implications– A very useful optimization algorithm for optimal water resources deployment.Originality/value– The paper highlights the new optimization algorithm for optimal water resources deployment due to the MCOA.
VL  - 37
IS  - 9/10
SN  - 0368-492X
DO  - 10.1108/03684920810907670
UR  - https://doi.org/10.1108/03684920810907670
AU  - Xianfeng Huang
AU  - Dongguo Shao
AU  - Wenquan Gu
ED  - Mian‐yun Chen
ED  - Yi Lin
ED  - Hejing Xiong
PY  - 2008
Y1  - 2008/01/01
TI  - Multi‐objective chaotic optimization algorithm and its application in optimal water resources deployment
T2  - Kybernetes
PB  - Emerald Group Publishing Limited
SP  - 1374
EP  - 1382
Y2  - 2024/04/25
ER  -