نتایج جستجو برای: f uzzy integer programming

تعداد نتایج: 651866  

Journal: :Chaos Solitons & Fractals 2023

Sandpile group or Abelian sandpile model was the first example of a self-organized critical system studied by Bak, Tang and Wiesenfeld. It is well known that these recurrent configurations can be characterized as optimal solution certain non-linear optimization problems. We show graph correspond to solutions some integer linear programs. More precisely, we present two new programming models, on...

Journal: :The Journal of Japan Institute of Navigation 1994

Journal: :Journal of Computational Biology 2009

2007
Josef Kallrath

We define difficult optimization problems as problems which cannot be solved to optimality or to any guaranteed bound by any standard solver within a reasonable time limit. The problem class we have in mind are mixed integer programming (MIP) problems. Optimization and especially mixed integer optimization is often appropriate and frequently used to model real world optimization problems. While...

Ghasem Tohidi Shabnam Razavyan

This paper extends the proposed method by Jahanshahloo et al. (2004) (a method for generating all the efficient solutions of a 0–1 multi-objective linear programming problem, Asia-Pacific Journal of Operational Research). This paper considers the recession direction for a multi-objective integer linear programming (MOILP) problem and presents necessary and sufficient conditions to have unbounde...

1998
Vijay Chandru

1 To appear as a chapter of the Handbook of Algorithms edited by M. Abstract Integer programming is an expressive framework for modeling and solving discrete optimization problems that arise in a variety of contexts in the engineering sciences. Integer programming representations work with implicit algebraic constraints (linear equations and inequalities on integer valued variables) to capture ...

دررودی, مریم, صادقیان, رامین,

In this paper, a general process is developed to find all non-dominated solutions of the multi objective combinatorial optimization (MOCO) problem. This process is based on the elastic constraints method and applies the identification of objective's bounds for it. Objectives bounds are determined by solving single objective integer programming problems. First the elastic constraints method is...

Journal: :Discrete Applied Mathematics 1979

Journal: :Surveys in Operations Research and Management Science 2014

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