We consider multiple objective 0-1 programming problems in the situation where parameters of objective functions and linear constraints are exposed to independent perturbations. We study quantitative characteristics o...
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We consider multiple objective 0-1 programming problems in the situation where parameters of objective functions and linear constraints are exposed to independent perturbations. We study quantitative characteristics of stability (stability radii) of problem solutions. An approach to deriving formulae and estimations of stability radii is presented. This approach is applied to stability analysis of the linear 0-1 programming problem and problems with two types of nonlinear objective functions: linear absolute value and quadratic. (C) 2010 Elsevier B.V. All rights reserved.
In this paper, focusing on general multiobjective 0-1 programming problems involving positive and negative coefficients, we propose an interactive fuzzy satisficing method by extending our previous genetic algorithms ...
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In this paper, focusing on general multiobjective 0-1 programming problems involving positive and negative coefficients, we propose an interactive fuzzy satisficing method by extending our previous genetic algorithms with double strings for multiobjective multidimensional 0-1 knapsack problems. In the extended genetic algorithms, a new decoding algorithm for individuals represented by double strings which maps each individual to a feasible solution is proposed through the introduction of backtracking and individual modification. After examining the feasibility and efficiency of the extended genetic algorithms with double strings using a lot of 0-1 programming problems involving positive and negative coefficients, an illustrative numerical example demonstrated the feasibility and efficiency of the proposed interactive fuzzy satisficing method. (C) 2002 Elsevier Science B.V. All rights reserved.
In this paper, we consider interactive fuzzy programming for multi-level 0-1 programming problems involving random variable coefficients both in objective functions and constraints. Following the probability maximizat...
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In this paper, we consider interactive fuzzy programming for multi-level 0-1 programming problems involving random variable coefficients both in objective functions and constraints. Following the probability maximization model together with the concept of chance constraints, the formulated stochastic multi-level 0-1 programming problems are transformed into deterministic ones. Taking into account vagueness of judgments of the decision makers, we present interactive fuzzy programming. In the proposed interactive method, after determining the fuzzy goals of the decision makers at all levels, a satisfactory solution is derived efficiently by updating satisfactory levels of the decision makers with considerations of overall satisfactory balance among all levels. For solving the transformed deterministic problems efficiently, we also introduce novel tabu search for general 0-1 programming problems. A numerical example for a three-level 0-1 programming problem is provided to illustrate the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
It is well known that general 0-1 programming problems are NP-Complete and their optimal solutions cannot be found with polynomial-time algorithms unless P=NP. In this paper, we identify a specific class of 0-1 progra...
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It is well known that general 0-1 programming problems are NP-Complete and their optimal solutions cannot be found with polynomial-time algorithms unless P=NP. In this paper, we identify a specific class of 0-1 programming problems that is polynomially solvable, and propose two polynomial-time algorithms to find its optimal solutions. This class of 0-1 programming problems commits to a wide range of real-world industrial applications. We provide an instance of representative in the field of supply chain management.
This paper introduces LocalSolver 1.x, a black-box local-search solver for general 0-1 programming. This software allows OR practitioners to focus on the modeling of the problem using a simple formalism, and then to d...
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This paper introduces LocalSolver 1.x, a black-box local-search solver for general 0-1 programming. This software allows OR practitioners to focus on the modeling of the problem using a simple formalism, and then to defer its actual resolution to a solver based on efficient and reliable local-search techniques. Started in 2007, the goal of the LocalSolver project is to offer a model-and-run approach to combinatorial optimization problems which are out of reach of existing black-box tree-search solvers (integer or constraint programming). Having outlined the modeling formalism and the main technical features behind LocalSolver, its effectiveness is demonstrated through an extensive computational study. The version 1.1 of LocalSolver can be freely downloaded at http://*** and used for educational, research, or commercial purposes.
With the intensification of competition, enterprises pay more and more attention to logistics network construction and improvement. Optimizing logistics network is regarded as the key way to raise supply chain efficie...
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With the intensification of competition, enterprises pay more and more attention to logistics network construction and improvement. Optimizing logistics network is regarded as the key way to raise supply chain efficiency. This paper focuses on the definition and analysis of 4/R/I/T logistics network structure which is widely used in distribution logistics system, and puts forward 0-1 programming model to minimize logistics cost based oil 4/R/I/T network structure. The model takes into the restriction of service time limit and sole service characteristics account. This optimization model can be solved by Lingo. An example is given in the end, which introduces the application of this model in a medicine distribution logistics network planning. (C) 2008 Elsevier Ltd. All rights reserved.
In practical operation of the thermal power plant, fault on coal mill is one of the principal factors that hinder the power plant from completing the power generating tasks on schedule. Therefore, early warning on coa...
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ISBN:
(纸本)9789881563972
In practical operation of the thermal power plant, fault on coal mill is one of the principal factors that hinder the power plant from completing the power generating tasks on schedule. Therefore, early warning on coal mill failures is of great significance to guarantee the stability of thermal power plant and reliability of power supply to the grid system. In this paper, a multi-model fusion method based on 0-1 programming for early warning of the coal mill failure is proposed and evaluated. For this method, the background information and main features of the mill failure problems are taken into consideration. and an optimization algorithm is implemented to combine the results of multiple models. In the optimization algorithm, the sum of the false alarm cost and false negative cost is the objective, and whether accept the pre-warning or not is the variable. The method is evaluated in practical situations, and numerical test shows that the total cost of false alarm and false negative of multi-model fusion method is more promising than that of each single model. The validity is proved through the result.
This paper analyzes the design of Quasi-Cyclic LDPC (QC-LDPC) without length-4 circle firstly. Because of some limits in structures of QC-LDPC such as other rows or columns will be determined with a given row or colum...
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ISBN:
(纸本)9781479962396
This paper analyzes the design of Quasi-Cyclic LDPC (QC-LDPC) without length-4 circle firstly. Because of some limits in structures of QC-LDPC such as other rows or columns will be determined with a given row or column and m short circles will appear with a given short circle in the parity check matrix where m is the order of sub matrix, we deal with the problems with the proposed similar S-QC-LDPC (S-QC-LDPC) based on 0-1 programming. The main idea is looking for constraint conditions without length-4 circles. Moreover, in designing the S-QC-LDPC, we find its particular matrix reflecting the check matrix similar to circulant permutation matrix of QC-LDPC. The simulation results show the proposed S-QC-LDPC can significantly improve the BER performance compared with QC-LDPC.
A 0-1 programming problem with a minimax objective function and any set of constraints is studied. Appropriate transformations of its cost coefficients reduces such a minimax problem to a linear minisum problem with ...
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A 0-1 programming problem with a minimax objective function and any set of constraints is studied. Appropriate transformations of its cost coefficients reduces such a minimax problem to a linear minisum problem with the same set of feasible solutions so that an optimal solution to the latter will also solve the original minimax problem. This reducibility applies for any 0-1 programming problem but is particularly applicable for certain locational decision models. One obvious implication is that an algorithm for solving a p-median (minisum) problem in a network will also solve a corresponding p-center (minimax) problem. Due to intrinsic properties of the minimax criterion, the results presented only hold for 0-1 problems.
Based on the analysis of research progresses on combinatorial algorithm for integer programming, the binary combinatorial algorithm and the genetic algorithm(GA) are discussed. The improving genetic algorithm includin...
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ISBN:
(纸本)0780378407
Based on the analysis of research progresses on combinatorial algorithm for integer programming, the binary combinatorial algorithm and the genetic algorithm(GA) are discussed. The improving genetic algorithm including the selection of fitness function, the improving of selection operator, the improving of crossover and mutation operator etc. is pointed out. The genetic-combinatorial algorithm including the basic algorithm thought and the basic processing steps is presented at last, which can be used to solve a kind of 0-1 programming efficiently.
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