[PDF] Top 20 An Algorithm for Solving Quadratic Programming Problems

... of quadratic pro- gramming problems. The algorithm is based on the effective se- lection of ...constraints. Quadratic programming with constraints- equalities are solved with the help ... See full document

... that an integrated approach for the vehicle and crew scheduling problems is accomplishable and provides high quality solutions, Mesquita and Paias (2008) and Mesquita et ...to an extension to ... See full document

... Genetic Algorithm (HGA) for a combinatorial op- timization problem, motivated by, and a simplification of, a TV Self-promotion As- signment ...optimization problems, such as the assignment problem or the ... See full document

... at problems of size 2000x2000 and 20% density. This algorithm also showed remarkable stability and robustness versus the IPM algorithm, as densities became ...all problems terminating either ... See full document

... as an NP-hard optimization ...integer programming (IP) can be basically used to solve it ...as an optimal solution when the size of the given MCP is ...genetic algorithm have been applied to ... See full document

... before solving it and can be grouped into two categories: Bellman’s dynamic programming method and Pontryagin’s Maximum ...dynamic programming which led to sufficient conditions for optimality using ... See full document

... solution algorithm using branch-and-bound techniques which does not guarantee global optimality but assures ...constructed an exact solution algorithm for nonlinear ...for solving nonlinear ... See full document

... the algorithm can reach two types of solutions. A feasible, where an optimal solution is found while respecting the constraints or infeasible, the target return is impossible to achieve with the active ... See full document

... linear programming problems in which some or all the variables are restricted to remain within fuzzy lower and fuzzy upper ...for solving such fuzzy linear programming problems in which ... See full document

... presented an efficient and reliable particle swarm optimization algorithm for solving the economic dispatch problems with smooth cost functions as well as cubic fuel cost ...ED problems ... See full document

... is an extension of the conventional economic dispatch problem used to determine the optimal generation schedule of on-line generators, so as to meet the predicted load demand over certain period of time at minimum ... See full document

... Quadratic programming is a special case of nonlinear programming and has a wide range of ...Wolfe algorithm which can be considered as a direct extension of the well-known sim- plex method, in ... See full document

... sequential quadratic programming (SQP) algorithm for solving constrained optimization ...This algorithm is based on the modified quadratic programming (QP) subproblem ... See full document

... linear programming problems. This method uses an interior point, and from there connected to the vertex of the so called station cone which is also a solution of the dual ...modified algorithm ... See full document

... aspects, solving complex NRPs which is NP-hard [1] also raises a scientific challenge to the ...linear programming [5], integer programming [6] and mixed-integer pro- gramming [7] have been proposed ... See full document

... diagnostic problems of machinery equipments within optimal technological operation satisfying in presence first of all incomplete or insufficient value features within realized classification ...provide an ... See full document

... semidefinite programming (SSDP) algorithm for solving nonlin- ear semidefinite programs was proposed in [5, ...sequential quadratic programming (SQP) method and considers linear ... See full document

... programming problems. A numerical example for a three-level 0–1 programming problem is provided to illustrate the proposed method(Sakawa & ...goal programming methodology for ... See full document

... using an optimal control ...nonlinear programming problem with the time-varying controls parameterized into a finite set of control ...the algorithm are in ...with an efficient successive ... See full document

... linear programming [5], dynamic programming [6, 7], and geometric programming [8, 9] have been used to solve optimization problems of machining parameters in multipass ...optimization ... See full document