LAND ALLOCATION STRATEGIES THROUGH GENETIC ALGORITHM APPROACHaA CASE STUDY

1
Dr. GOPI.ANNEPU
Dr. GOPI.ANNEPU
2
K.VENKATA SUBBAIAH
K.VENKATA SUBBAIAH
3
N.R.KANDUKURI
N.R.KANDUKURI
1 GOVERNMENT POLYTECHNIC
3 Andhra University

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GJRE Volume 11 Issue J4

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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Development of agriculture depends on optimal land allocation. The development towards optimal utilization of land under cultivation and thereby increasing the production of crops and profit with less fertilizer consumption have to be taken into consideration in agriculture planning. In this paper different agriculture strategies are developed and accordingly, single objective optimization models are formulated with net profit, production of crops and fertilizer consumption as objectives and availability of cultivable land, agriculture labor, agriculture machinery and water as constraints. To illustrate the models a case study of Visakhapatnam district, Andhra Pradesh, India is presented and are solved through GA.

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The authors declare no conflict of interest.

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Dr. GOPI.ANNEPU. 1970. \u201cLAND ALLOCATION STRATEGIES THROUGH GENETIC ALGORITHM APPROACHaA CASE STUDY\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 11 (GJRE Volume 11 Issue J4): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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LAND ALLOCATION STRATEGIES THROUGH GENETIC ALGORITHM APPROACHaA CASE STUDY

Dr. GOPI.ANNEPU
Dr. GOPI.ANNEPU GOVERNMENT POLYTECHNIC
K.VENKATA SUBBAIAH
K.VENKATA SUBBAIAH
N.R.KANDUKURI
N.R.KANDUKURI Andhra University

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