Optimal Matching Metaheuristic Algorithm for Potential Areas of Agricultural Economic Resources Development Based on Spatial Relationship

The agriculture sector is the backbone of economies many Asian countries such as India, China, and Bangladesh. can contribute a major share to GDP where main occupation citizens or dependency mainly on agricultural productivity. It important study potential areas economic resource development. existing methods are not efficient enough map productivity with development, hence, it has motivated us aspects which impact development based There numerous factors low productivity, high irrigation amount, labor charges, proportion planning optimization, crop yield that should be considered correlation between Firstly, spatial relationship resources analyzed in this paper. Secondly, multiobjective linear programming model proposed. Based model, optimal matching for constructed, improved genetic algorithm used solve realize experimental results show proposed method benefit, optimization yield.