Suchergebnisse - Mathematical programming with complementary constraints

An Approximately Exact Smooth Penalty Function for Nonlinear Constrained Optimization Problem von Liu, Bingzhuang

“… As an example, we provide a smooth penalty function for mathematical programming with complementary constraints (MPCC) …”
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A Generalized Projetion Gradient Algorithm for Mathematical Programs with Complementary Constraints von Zhang, Cong, Sun, Limin, Xiao, Ya

“… Against the shortcomings that many existing algorithms for solving the standard smoothing nonlinear programming would fail if they were used directly to solve the mathematical programs with complementary constraints( MPCC …”
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Evaluating Data-driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning von Lin, Xuan, Fernandez, Gabriel Ikaika, Hong, Dennis

“… To solve mixed-integer bilinear programs online with data-driven methods, several re-formulations exist including mathematical programming with complementary constraints (MPCC …”
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Evaluating Data-Driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning von Lin, Xuan, Fernandez, Gabriel I., Hong, Dennis W.

“… To solve mixed-integer bilinear programs online with data-driven methods, several reformulations exist including mathematical programming with complementary constraints (MPCC …”
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A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution von Sitek, Paweł, Wikarek, Jarosław

“… It is versatile and effective owing to the use of multi-level presolving and multiple paradigms, such as constraint programming, logic programming, mathematical programming and fuzzy logic …”
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Combining metaheuristics with mathematical programming, constraint programming and machine learning von Talbi, El-Ghazali

“… Combinations of optimization tools such as metaheuristics, mathematical programming, constraint programming and machine learning, have provided very efficient optimization algorithms …”
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Mangasarian-type second- and higher-order duality for mathematical programs with complementarity constraints von Zhang, Qiulin, Lin, Huiling

“… Based on the strong stationary condition, we formulate second-order and higher order duals for a mathematical program with complementary constraints (MPCC …”
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Benchmark Results for Bookshelf Organization Problem as Mixed Integer Nonlinear Program with Mode Switch and Collision Avoidance von Lin, Xuan, Fernandez, Gabriel I, Hong, Dennis W

“… To solve mixed-integer bilinear programs online with data-driven methods, several formulations exist including mathematical programming with complementary constraints (MPCC …”
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A Hierarchical Real-Time Balancing Market Considering Multi-Microgrids With Distributed Sustainable Resources von Du, Yan, Li, Fangxing

“… It is solved by developing Karush-Kuhn-Tucker conditions and combining the two problems into one mathematical programming with complementarity constraints …”
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Making programming part of teachers' everyday life – Programming affordances and constraints for K-12 mathematics and technology von Humble, Niklas, Mozelius, Peter

“… PurposeThe conducted examination of programming affordances and constraints had the purpose of adding knowledge and value that facilitate the on-going national curricula revision …”
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Absolute Value Constraint Based Method for Interval Optimization to SCED Model von Ding, Tao, Bo, Rui, Gu, Wei, Guo, Qinglai, Sun, Hongbin

“… The equality constraints are then converted to absolute value constraints. Lastly, the absolute value operator is eliminated through introducing two nonnegative slack variables and complementary slackness condition …”
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Program does not equal program: Constraint programming and its relationship to mathematical programming von Lustig, Irvin J, Jean-Francois Puget

“… For those familiar with mathematical programming, a number of language barriers make it difficult to understand the concepts of constraint programming …”
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A Novel Interior-Exterior Approach for the TSO-DSO based Bilevel Optimal Power Flow von Sharma, Piyush A., Mohapatra, Abheejeet, Sharma, Ankush

“… Also, BOPF is stated as a Mathematical Program with Complementary Constraints (MPCC) by replacing the follower's OPF with associated optimality conditions …”
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Optimality conditions for circular cone complementarity programs von Thinh, V. D., Chuong, T. D., Anh, N. L. H.

“… We then establish first- and second-order optimality conditions for a mathematical programming problem involving a circular cone complementary constraint under the validation of metric subregularity …”
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Partial augmented Lagrangian method for non-Lipschitz mathematical programs with complementarity constraints von Li, Gao-Xi, Yang, Xin-Min, Long, Xian-Jun

“… In recent years, mathematical programs with complementarity constraints (MPCC) and a non-Lipschitz objective function have been introduced and are now more prevalent than locally Lipschitz MPCC …”
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Distributed Random Convex Programming via Constraints Consensus von Carlone, L., Srivastava, V., Bullo, F., Calafiore, G. C.

“… ). RCPs are convex optimization problems with a (usually large) number $N$ of randomly extracted constraints …”
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Optimal Power Flow With the Consideration of Flexible Transmission Line Impedance von Ding, Tao, Bo, Rui, Li, Fangxing, Sun, Hongbin

“… By the use of big-M based complementary constraints, the original non-convex model can be transformed into a mixed integer quadratic programming that can be solved by branch and bound method …”
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Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming von Na, Sen, Anitescu, Mihai, Kolar, Mladen

“… We study nonlinear optimization problems with a stochastic objective and deterministic equality and inequality constraints, which emerge in numerous applications including finance, manufacturing …”
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A System-Level Approach to Controller Synthesis von Wang, Yuh-Shyang, Matni, Nikolai, Doyle, John C.

“… SL parameterizations (SLPs) provide an alternative to the Youla parameterization of all stabilizing controllers and the responses they achieve, and combine with SL constraints (SLCs …”
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An optimality criteria method hybridized with dual programming for topology optimization under multiple constraints by moving asymptotes approximation von Peng, Quancheng, Lin, Tengjiao, Liu, Wen, Chen, Bingkui

“… In virtue of these advantages, it is supposed that the efficiency of optimality criteria method will become higher if constraint functions are approximated by moving asymptotes function instead of linear function …”
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