ASSISTED DECISIONS IN FARMING MANAGEMENT BASED ON METHODS OF OPERATIONS RESEARCH – LINEAR MULTIOBJECT PROGRAMMING
Abstract
Linear programming, as a part of applied mathematics, more definitely – the branch of Operations Research, is seen as a solving method of problems linked to optimization. Each economical problem having as a purpose its optimization, especially concerning the distribution of resources, has in wiew the obtaining of an optimal value of a goal, for example a maximum of the profit, or a minimum of the costs. Each economical problem depends of a lot factors submitted to some restrictions (constraints). The goal is dependent of these factors, reason for which the goal is found in a mathematical dependence (function) of these factors, named decisional factors. One has in wiew the optimization of an economic goal represented by a mathematical function of more variables. The optimization function represents a goal from the practice of a large variety of areas: technical, pedagogical, medical, agricultural, personnel organization, etc.The discussed function may be called “purpose function”, or “goal (objective) function”, or “efficiency function”. We prefer the name of “objective function”. If the dependence of the function of the decisional factors is a mathematical linear one (used in the areas mentioned above), then the problem is a linear progamming one. A linear programming problem can be: a “classical linear programming problem”, a “a multiobject problem”, or a “transport problem”. In the paper is presented only the “multiobject problem”. Is presented the mathematical pattern, the coresponding terminology and also some practical issued solved on the computer in the summaries submitted to the work. Supplementary, we have to mentioned that the authors are the holders of the implementations on computer of the pattern mentioned above, in both known programming environment Fortran 77, C++ and desk computer one.The papers published in the journal are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Open Access Journal: The journal allow the author(s) to retain publishing rights without restrictions. Authors are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
