Search Results - subject:"sequential quadratic programming"

A hybrid heuristic technique for optimal coordination in intermodal logistics scheduling

Chen, Cheng-Chieh; Schonfeld, Paul - In: International journal of shipping and transport … 9 (2017) 4, pp. 475-499

Persistent link: https://www.econbiz.de/10011761880

Solution Of Multi - Objective Optimization Power System Problems Using Hybrid Algorithm

Jaganathan, S.; Palaniswami, S. - In: Journal of Asian Scientific Research 1 (2011) 5, pp. 265-270

level search, which can give a good direction to the optimal global region and a local search Sequential Quadratic … Programming (SQP) is used as a fine tuning to determine the optimal solution at the end. …

Persistent link: https://www.econbiz.de/10009395989

Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid

Mohammad Zadeh, P.; Sokhansefat, T.; Kasaeian, A.B.; … - In: Energy 82 (2015) C, pp. 857-864

(genetic algorithm) and SQP (sequential quadratic programming) is introduced in the optimization process. The optimization …

Persistent link: https://www.econbiz.de/10011209542

Critical Lagrange multipliers: what we currently know about them, how they spoil our lives, and what we can do about it

Izmailov, A.; Solodov, M. - In: TOP: An Official Journal of the Spanish Society of … 23 (2015) 1, pp. 1-26

a noncritical multiplier, their dual behavior is as desired. These include the stabilized sequential quadratic … programming method and the augmented Lagrangian algorithm. However, when the starting point is far, even those algorithms do not …

Persistent link: https://www.econbiz.de/10011241036

Critical Lagrange multipliers : what we currently know about them, how they spoil our lives, and what we can do about it

Izmailov, A. F.; Solodov, M. V. - In: Top : transactions in operations research 23 (2015) 1, pp. 1-26

Persistent link: https://www.econbiz.de/10010517979

A nonlinear preconditioner for optimum experimental design problems

Mommer, Mario Salvador; Sommer, Andreas; Schlöder, … - In: EURO journal on computational optimization 3 (2015) 2, pp. 131-146

Persistent link: https://www.econbiz.de/10011341913

Sequential quadratic programming methods for parametric nonlinear optimization

Kungurtsev, Vyacheslav; Diehl, Moritz - In: Computational Optimization and Applications 59 (2014) 3, pp. 475-509

<Para ID="Par1">Sequential quadratic programming (SQP) methods are known to be efficient for solving a series of …

Persistent link: https://www.econbiz.de/10011151835

Global and local convergence of a nonmonotone SQP method for constrained nonlinear optimization

Shen, Chungen; Zhang, Lei-Hong; Wang, Bo; Shao, Wenqiong - In: Computational Optimization and Applications 59 (2014) 3, pp. 435-473

In this paper, we propose a robust sequential quadratic programming (SQP) method for nonlinear programming without …

Persistent link: https://www.econbiz.de/10011151840

An inexact restoration strategy for the globalization of the sSQP method

Fernández, D.; Pilotta, E.; Torres, G. - In: Computational Optimization and Applications 54 (2013) 3, pp. 595-617

A globally convergent algorithm based on the stabilized sequential quadratic programming (sSQP) method is presented in …

Persistent link: https://www.econbiz.de/10010998293

Active-set Newton methods for mathematical programs with vanishing constraints

Izmailov, A.; Pogosyan, A. - In: Computational Optimization and Applications 53 (2012) 2, pp. 425-452

Mathematical programs with vanishing constraints constitute a new class of difficult optimization problems with important applications in optimal topology design of mechanical structures. Vanishing constraints usually violate standard constraint qualifications, which gives rise to serious...

Persistent link: https://www.econbiz.de/10010896526