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[PDF] Top 20 A Set of Algorithms for Solving the Generalized Tardiness Flowshop Problems

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A Set of Algorithms for Solving the Generalized Tardiness Flowshop Problems

A Set of Algorithms for Solving the Generalized Tardiness Flowshop Problems

... total tardiness (Lauff, and Werner ...total tardiness minimization objective, there is a given due date for completion of each job (last operation of each job), and the tardiness of a job is defined ... See full document

11

New Perturbed Proximal Point Algorithms for Set-valued Quasi Variational Inclusions

New Perturbed Proximal Point Algorithms for Set-valued Quasi Variational Inclusions

... some algorithms and convergence analysis under the assumption that N is strongly mono- tone with the respect to the first ...for solving the generalized set-valued variational inequalities ... See full document

8

Projective algorithms for solving complementarity problems

Projective algorithms for solving complementarity problems

... 8. Conclusion and possible future directions. Several algorithms have been pre- sented. Firstly, they provide yet another means for which one might solve both linear and generalized linear complementarity ... See full document

15

Models and algorithms for solving packing problems in logistics

Models and algorithms for solving packing problems in logistics

... heuristic algorithms are used to obtain a set of efficient packing patterns for each of these ...a set of real data show that the proposed procedure obtains good results, according to the relative ... See full document

178

Solving dynamic optimal power flow problems using pso and de algorithms

Solving dynamic optimal power flow problems using pso and de algorithms

... To demonstrate the performance of the proposed PSO and DE algorithms, these methods have been applied on the IEEE 30- bus test system. Detailed data about 30-bus IEEE test system can be obtained from [25]. The ... See full document

6

COVERT Based Algorithms for Solving the Generalized Tardiness Flow Shop Problems

COVERT Based Algorithms for Solving the Generalized Tardiness Flow Shop Problems

... To present a mathematical programming formulation for the proposed problem, we consider a set of n jobs, each having m operations to be processed on m different machines with a unidirectional precedence structure. ... See full document

17

Design of library of artificial 
		intelligence algorithms for solving the optimization problems

Design of library of artificial intelligence algorithms for solving the optimization problems

... optimization problems belong to the class of NP-complete problems as a result it is required to use the resource-intensive optimization algorithms to obtain the optimal solutions of the ... See full document

7

Some Global Algorithms of Random Search. Examples of Solving Problems

Some Global Algorithms of Random Search. Examples of Solving Problems

... above algorithms of random search type smoothing [7] in the integral form adapted for storage and use of previous experience, ...each set of parameters, for a certain starting point X 0 and a priori given ... See full document

13

Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making

Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making

... earliness, tardiness, etc for obtaining a set of Pareto solutions in the process of Multi-Objective Optimization ...search algorithms named as: Iterated Greedy Search Algorithm (IGRS) and Iterated ... See full document

22

Finite algorithms for the numerical solutions of a class of nonlinear complementarity problems

Finite algorithms for the numerical solutions of a class of nonlinear complementarity problems

... complementarity problems and then preconditioners, widely used in the linear systems, may not be applied ...active set strategies ...active set strategies consists of two ...active set method, ... See full document

17

Development of a Set of Algorithms for the Multi-Project Scheduling Problems

Development of a Set of Algorithms for the Multi-Project Scheduling Problems

... the tardiness criterion in flowshop scheduling problems, there are some valuable concepts in tardiness criterion of single machine, and job shop sequencing models which can be modified and ... See full document

14

A genetic algorithm for generalized tardiness flowshop problems

A genetic algorithm for generalized tardiness flowshop problems

... same set-up ...and tardiness of the test ...total tardiness minimization in a flowshop with multiple processors at each ...a set of heuristic methods and have conducted extensive ... See full document

10

Minimizing the energy consumption and the total weighted tardiness for the flexible flowshop using NSGA-II and NRGA

Minimizing the energy consumption and the total weighted tardiness for the flexible flowshop using NSGA-II and NRGA

... weighted tardiness and the energy consumption. The set-up times are considered to be sequence- and machine-dependent, and a release time and a due date is applied for each of the ...evolutionary ... See full document

13

An algorithm for solving a multi valued variational inequality

An algorithm for solving a multi valued variational inequality

... We propose a new extragradient method for solving a multi-valued variational inequality. It is showed that the method converges globally to a solution of the multi-valued variational inequality, provided the ... See full document

9

Effective Hybrid Algorithms for No Wait Flowshop Scheduling Problem

Effective Hybrid Algorithms for No Wait Flowshop Scheduling Problem

... optimization problems have always been considered in the literature (see for example: [1], [2], [3], ...no-wait flowshop problem occurs when the operations of a job have to be processed continuously from ... See full document

6

Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems

Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems

... singularity problems is to apply an intermediate dimension reduction stage such as PCA to reduce the dimension of the original data before classical LDA is ... See full document

20

Weak convergence of explicit extragradient algorithms for solving equilibirum problems

Weak convergence of explicit extragradient algorithms for solving equilibirum problems

... inertial-type algorithms, depending on the heavy ball methods of the two-order time dynamical system, Polyak [40] firstly proposed an in- ertial extrapolation as an acceleration process to solve the smooth convex ... See full document

25

Generalized vector quasi equilibrium problems with set valued mappings

Generalized vector quasi equilibrium problems with set valued mappings

... a set-valued mapping such that C(x) is a closed pointed and convex cone with int C ( x ) = ∅ for each x ∈ X , D : X → 2 X , and T : X → 2 Y be set-valued mappings with nonempty convex values and compactly ... See full document

12

Generalized B-spline functions ‎method‎‎ for solving optimal control problems

Generalized B-spline functions ‎method‎‎ for solving optimal control problems

... Abstract In this paper we introduce a numerical approach that solves optimal control problems (OCPs) using collocation methods. This approach is based upon B-spline functions. The derivative matrices between any ... See full document

13

Hybrid Algorithm for Finding Common Elements of the Set of Generalized Equilibrium Problems and the Set of Fixed Point Problems of Strictly Pseudocontractive Mapping

Hybrid Algorithm for Finding Common Elements of the Set of Generalized Equilibrium Problems and the Set of Fixed Point Problems of Strictly Pseudocontractive Mapping

... the set of fixed point problem and the set of equilibrium problem in Hilbert spaces, for instance, [2, 3, ...the set of fixed points of strictly pseudocontractive mapping and two sets of ... See full document

19

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