Genetic Programming Bibliography entries for Liang Gao
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GP coauthors/coeditors:
Akhil Garg,
Venkatesh Vijayaraghavan,
Chee How Wong,
Kang Tai,
K Sumithra,
Pravin M Singru,
Jasmine Siu Lee Lam,
Shrutidhara Sarma,
Biranchi Narayan Panda,
Jian Zhang,
Li Nie,
Peigen Li,
Liping Zhang,
R Vijayaraghavan,
Kuldip Singh Sangwan,
Guoxing Lu,
Long Wen,
Xinyu Li,
Guohui Zhang,
Yang Yang,
Xinyu Shao,
Genetic Programming Articles by Liang Gao
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V. Vijayaraghavan and A. Garg and K. Tai and Liang Gao.
Thermo-mechanical modeling of metallic alloys for nuclear engineering applications.
Measurement, 97:242-250, 2017.
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V. Vijayaraghavan and A. Garg and Liang Gao and R. Vijayaraghavan and Guoxing Lu.
A finite element based data analytics approach for modeling turning process of Inconel 718 alloys.
Journal of Cleaner Production, 137:1619-1627, 2016.
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Akhil Garg and Shrutidhara Sarma and B. N. Panda and Jian Zhang and L. Gao.
Study of effect of nanofluid concentration on response characteristics of machining process for cleaner production.
Journal of Cleaner Production, 135:476-489, 2016.
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Akhil1 Garg and Jasmine Siu Lee Lam and L. Gao.
Modeling multiple-response environmental and manufacturing characteristics of EDM process.
Journal of Cleaner Production, 137:1588-1601, 2016.
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R. Vijayaraghavan and A. Garg and V. Vijayaraghavan and Liang Gao.
Development of energy consumption model of abrasive machining process by a combined evolutionary computing approach.
Measurement, 75:171-179, 2015.
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Akhil1 Garg and V. Vijayaraghavan and Jasmine Siu Lee Lam and Pravin M Singru and Liang Gao.
A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance.
Swarm and Evolutionary Computation, 21:54-63, 2015.
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Akhil1 Garg and Jasmine Siu Lee Lam and L. Gao.
Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach.
Journal of Cleaner Production, 108, Part A:34-45, 2015.
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V. Vijayaraghavan and A. Garg and C. H. Wong and K. Tai and Pravin M. Singru and Liang Gao and K. S. Sangwan.
A molecular dynamics based artificial intelligence approach for characterizing thermal transport in nanoscale material.
Thermochimica Acta, 594:39-49, 2014.
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A. Garg and V. Vijayaraghavan and C. H. Wong and K. Tai and K. Sumithra and L. Gao and Pravin M. Singru.
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet.
Simulation Modelling Practice and Theory, 48:93-111, 2014.
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A. Garg and V. Vijayaraghavan and C. H. Wong and K. Tai and Liang Gao.
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material.
Simulation Modelling Practice and Theory, 44:1-13, 2014.
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Yang Yang and Xinyu Li and Liang Gao and Xinyu Shao.
A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming.
Journal of Network and Computer Applications, 36(6):1540-1550, 2013.
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Genetic Programming conference papers by Liang Gao
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Long Wen and Liang Gao and Xinyu Li and Guohui Zhang and Yang Yang.
Application of Free Pattern Search on the Surface Roughness Prediction in End Milling. In
Xiaodong Li editor,
Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 765-770, Brisbane, Australia, 2012.
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Li Nie and Liang Gao and Peigen Li and Liping Zhang.
Application of gene expression programming on dynamic job shop scheduling problem. In
15th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2011), pages 291-295, Lausanne, 2011. IEEE.
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