American Psychological Association 6th edition

QU, S.-J., ZHANG, K.-C., & YING JI. (2007). A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation. Applied Mathematics and Computation, 184(2), 886-894.

ISO-690 (author-date, English)

QU, Shao-Jian, ZHANG, Ke-Cun and YING JI, 2007. A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation. Applied mathematics and computation. 1 January 2007. Vol. 184, no. 2, p. 886-894.

Modern Language Association 9th edition

QU, S.-J., K.-C. ZHANG, and YING JI. “A New Global Optimization Algorithm for Signomial Geometric Programming via Lagrangian Relaxation”. Applied Mathematics and Computation, vol. 184, no. 2, Jan. 2007, pp. 886-94.

Mohr Siebeck - Recht (Deutsch - Österreich)

QU, Shao-Jian/ZHANG, Ke-Cun/YING JI: A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation, Applied mathematics and computation 2007, 886-894.

Emerald - Harvard

QU, S.-J., ZHANG, K.-C. and YING JI. (2007), “A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation”, Applied Mathematics and Computation, Vol. 184 No. 2, pp. 886-894.

Warning: These citations may not always be 100% accurate.