Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm
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Xia Wu | Yufa He | Wenlong Jia | Changjun Li | Wenlong Jia | Changjun Li | Xia Wu | Yufa He
[1] Ajith Abraham,et al. Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.
[2] Mohammad Mehdi Ebadzadeh,et al. A novel particle swarm optimization algorithm with adaptive inertia weight , 2011, Appl. Soft Comput..
[3] W. A. Poe,et al. Handbook of Natural Gas Transmission and Processing , 2006 .
[4] Marc C. Steinbach,et al. Nonlinear Optimization in Gas Networks , 2003, HPSC.
[5] J. Haddad,et al. Optimization of a Natural Gas Transmission System , 2013 .
[6] Panos M. Pardalos,et al. Handbook of applied optimization , 2002 .
[7] Y. Smeers,et al. The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm , 2000 .
[8] Claudemir Duca Vasconcelos,et al. Network flows modeling applied to the natural gas pipeline in Brazil , 2013 .
[9] R. Reid,et al. The Properties of Gases and Liquids , 1977 .
[10] Michael J. Ryan,et al. Steady State Optimization of Gas Pipeline Network Operation , 1987 .
[11] Suming Wu,et al. Model relaxations for the fuel cost minimization of steady-state gas pipeline networks , 2000 .
[12] M. B. Feldman,et al. Optimization of Gas Transmission Systems Using Linear Programming , 1988 .
[13] Changjun Li,et al. A MULTI-HIERARCHY GREY RELATIONAL ANALYSIS MODEL FOR NATURAL GAS PIPELINE OPERATION SCHEMES COMPREHENSIVE EVALUATION , 2012 .
[14] Xin Su,et al. Application of SPS and TGNET in Natural Gas Pipeline Network Simulation , 2009 .
[15] Zhiwei Zheng,et al. Power optimization of gas pipelines via an improved particle swarm optimization algorithm , 2012, Petroleum Science.
[16] Lionel Amodeo,et al. Optimization of natural gas pipeline transportation using ant colony optimization , 2009, Comput. Oper. Res..
[17] Lyle H. Ungar,et al. A hybrid neural network‐first principles approach to process modeling , 1992 .
[18] Mohd Shariq Khan,et al. Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints , 2013 .
[19] Xiaolei Dong,et al. A comparative study of differential evolution and genetic algorithms for optimizing the design of water distribution systems , 2012 .
[20] R. Larson,et al. Optimization of natural-gas pipeline systems via dynamic programming , 1968 .
[21] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[22] Dag Haugland,et al. Optimization methods for pipeline transportation of natural gas with variable specific gravity and compressibility , 2013 .
[23] Yi Yang,et al. Adaptive Genetic Algorithm for Steady-State Operation Optimization in Natural Gas Networks , 2011, J. Softw..
[24] Jun Tang,et al. Particle Swarm Optimization with Adaptive Mutation , 2009, 2009 WASE International Conference on Information Engineering.
[25] Rita Tubb. 2011 worldwide pipeline construction report , 2011 .
[26] Nélida B. Brignole,et al. Simulated Annealing Optimization for Hydrocarbon Pipeline Networks , 2013 .
[27] Daniela Galatro,et al. Considerations for the dew point calculation in rich natural gas , 2014 .
[28] Dariush Jafari,et al. Assessing and optimization of pipeline system performance using intelligent systems , 2014 .
[29] Rommel G. Regis,et al. Particle swarm with radial basis function surrogates for expensive black-box optimization , 2014, J. Comput. Sci..
[30] Panos M. Pardalos,et al. Optimization Models in The Natural Gas Industry , 2010 .