Multiple Objectives in Agricultural Planning: A Compromise Programming Application | Zendy

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Multiple Objectives in Agricultural Planning: A Compromise Programming Application

Author(s) -

Romero Carlos,

Amador Francisco,

Barco Antonio

Publication year - 1987

Publication title -

american journal of agricultural economics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.949

H-Index - 111

eISSN - 1467-8276

pISSN - 0002-9092

DOI - 10.2307/1241308

Subject(s) - compromise , profitability index , computer science , agrarian society , set (abstract data type) , agriculture , multiobjective programming , operations research , mathematical optimization , economics , multi objective optimization , mathematics , political science , machine learning , geography , finance , programming language , archaeology , law

This article shows how multiobjective programming, compromise programming, and filtering techniques can be used to tackle some problems found in agricultural planning. A real case involving the establishment of workers' cooperatives within an agrarian reform program in Andalusia (Spain) is studied. The underlying problem is to find a compromise between the following objectives: employment, seasonal labor, and business profitability. The multiobjective programming approach is used to find the efficient set among these objectives, and after a filtering procedure, a compromise between the objectives is established based on the compromise programming approach.

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