Genetic Algorithm Approach to a Multiobjective Land Allocation Model: A Case Study

Optimal land allocation plays a vital role for the development of agriculture sector. Development toward optimal utilization of land under cultivation and increasing the production of crops and profit with less fertilizer consumption must be taken into consideration in agriculture planning. In this paper, a weighted additive model is formulated with net profit, production of crops, and fertilizer consumption as objectives and availability of cultivable land, agriculture labour, agriculture machinery, and water as constraints for optimal land allocation. Weighted additive model takes care of relative priority of objectives laid by the agriculture planners. To illustrate the model, a case study of Visakhapatnam district, Andhra Pradesh, India is presented. The results of GA approach are compared with LINGO solver and observed that there is an improvement in the utilization of land.

[1]  Qiuzhen Lin,et al.  An Improved Clonal Algorithm in Multiobjective Optimization , 2009, J. Softw..

[2]  Zbigniew Michalewicz,et al.  Test-case generator for nonlinear continuous parameter optimization techniques , 2000, IEEE Trans. Evol. Comput..

[3]  A. M. Anderson,et al.  Diet Planning in the Third World by Linear and Goal Programming , 1983 .

[4]  Lorenz M. Hilty,et al.  A general modelling and simulation system for sustainability impact assessment in the field of traffic and logistics , 2001 .

[5]  Sanjeev Gupta,et al.  Optimization of cropping pattern using goal programming approach , 2009 .

[6]  I. Kim,et al.  Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation , 2006 .

[7]  M. D. Kakhki,et al.  The Determination of Optimal Crop Pattern with Aim of Reduction in Hazards of Environmental , 2009 .

[8]  Herman Van Keulen,et al.  Combining interactive multiple goal linear programming with an inter-stakeholder communication matrix to generate land use options , 2007, Environ. Model. Softw..

[9]  P. Subbaraj,et al.  A Nondominated Sorting Genetic Algorithm for Shortest Path Routing Problem , 2010 .

[10]  Krishn Kumar Mishra,et al.  A Fast Algorithm for Finding the non Dominated Set in Multiobjective Optimization , 2010 .

[11]  Debasis Ghosh,et al.  Goal Programming Model for Agricultural Land Allocation Problems , 2008 .

[12]  Konstantinos Kotis,et al.  An Ontology-Based Framework for Authoring Tools in the Domain of Sustainable Energy Education , 2011, Int. J. Agric. Environ. Inf. Syst..

[13]  Kalyanmoy Deb,et al.  Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..

[14]  Johnny Douvinet.  Flash Flood Hazard Assessment in Small Agricultural Basins Coupling GIS-Data and Cellular Automata Modelling: First Experimentations in Upper-Normandy (France) , 2014, Int. J. Agric. Environ. Inf. Syst..

[15]  Kalyanmoy Deb,et al.  Genetic Algorithms, Noise, and the Sizing of Populations , 1992, Complex Syst..

[16]  D. M. Bhandarkar,et al.  Optimal cropping pattern in a canal command area , 2001 .

[17]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[18]  Edward L. Hannan,et al.  SOME FURTHER COMMENTS ON FUZZY PRIORITIES , 1981 .

[19]  Dedi Liu,et al.  A Model for the Optimal Allocation of Water Resources in a Saltwater Intrusion Area: A Case Study in Pearl River Delta in China , 2009 .

[20]  P. Heuberger,et al.  Application of a genetic algorithm to minimize agricultural nitrogen deposition in nature reserves , 2006 .

[21]  Hércules Antonio do Prado,et al.  Computational Methods for Agricultural Research: Advances and Applications , 2010 .

[22]  Josiah Adeyemo,et al.  Differential evolution algorithm for solving multi-objective crop planning model. , 2010 .

[23]  K. Deb.  An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .

[24]  Guillaume Deffuant,et al.  A Multidimensional Model for Data Warehouses of Simulation Results , 2010, Int. J. Agric. Environ. Inf. Syst..

[25]  Ram Narasimhan,et al.  A geometric averaging procedure for constructing supertransitive approximation to binary comparison matrices , 1982 .

[26]  Theodor J. Stewart,et al.  A genetic algorithm approach to multiobjective land use planning , 2004, Comput. Oper. Res..

[27]  Sandro Bimonte,et al.  Towards Spatial Decision Support System for Animals Traceability , 2010 .

[28]  Panos M. Pardalos,et al.  Data Mining Techniques in Agricultural and Environmental Sciences , 2010, Int. J. Agric. Environ. Inf. Syst..

[29]  Mohamed Haouari,et al.  Optimal cropping patterns under water deficits , 2001, Eur. J. Oper. Res..

[30]  Edward L. Hannan.  CONTRASTING FUZZY GOAL PROGRAMMING AND “FUZZY” MULTICRITERIA PROGRAMMING* , 1982 .

[31]  El Sayed,et al.  PARAMETRIC AND MULTIOBJECTIVE OPTIMISATION APPLIED IN AGRICULTURE: THE STUDY OF CROPPING PATTERN IN THE AMERIYA REGION IN WINTER CROPS , 2007 .

[32]  M. C. P. Y. Pessoa,et al.  Mathematical-Modelling Simulation Applied to Help in the Decision-Making Process on Environmental Impact Assessment of Agriculture , 2011 .