Nutrient requirements of dairy cattle , Nutrient requirements of dairy cattle , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

Nutrient requirements of dairy cattle

Introduction to stochastic programming

In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.

/pdf/a-review-on-genetic-algorithm-past-present-and-future-2o5y8ru178.pdf

A review on genetic algorithm: past, present, and future

http://deazone.com/en/wp-content/uploads/2011/11/FuzzyDEAreviewpaper.pdf

A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making

(1962). Management Models and Industrial Applications of Linear Programming. Journal of the Operational Research Society: Vol. 13, No. 3, pp. 274-275.

https://link.springer.com/content/pdf/10.1057%2Fjors.1962.42.pdf

Management Models and Industrial Applications of Linear Programming

https://isiarticles.com/bundles/Article/pre/pdf/25161.pdf

Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables

Duality in fuzzy number linear programming by use of a certain linear ranking function

Linear programming problems with fuzzy variables have been investigated by many researchers in the recent literature. Some methods to solve these problems, such as the primal simplex method and the dual simplex method, are based on the concept of comparison of fuzzy numbers by using ranking functions. In this paper, we give a new primal-dual algorithm for solving linear programming problems with fuzzy variables by using duality results, which was proposed by Mahdavi-Amiri and Nasseri (2007). This algorithm will be useful for sensitivity analysis when the activity vectors change for basic columns.

A primal-dual method for linear programming problems with fuzzy variables

Fuzzy set theory has been applied to many fields, such as operations research, control theory, and management sciences. We consider two classes of fuzzy linear programming (FLP) problems: Fuzzy number linear programming and linear programming with trapezoidal fuzzy variables problems. We state our recently established results and develop fuzzy primal simplex algorithms for solving these problems. Finally, we give illustrative examples.

/pdf/fuzzy-primal-simplex-algorithms-for-solving-fuzzy-linear-4bg5ixfmz4.pdf

Seyed Hadi Nasseri

Papers

Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables

Duality in fuzzy number linear programming by use of a certain linear ranking function

A primal-dual method for linear programming problems with fuzzy variables

Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems

Using complementary slackness property to solve linear programming with fuzzy parameters