In developing countries, many researchers have been carried out in the cropping systems to yield maximum profit. The profit from the cropping system can be enhanced by predicting the variables which affects yield. In this research, these variables have been predicted and optimized for maize cropping productivity using Tabu search approach. Rainfall, temperature and irrigation are the major variables considered for maize cropping system in this research. The details of these three variables for

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... welve months and for eight years had collected. Minitab software had used to frame a mathematical relationship among these variables and this relational equation has been used as the objective function for Tabu search approach. Using this equation, Tabu search approach identifies the best optimal yielding period for maize crop cultivation and also it can be used to forecast the best optimal combination of variables that can yield best productivity for cropping system. The developed model have been tested with the data obtained from the farmer and aback that the results are lined up with the real time data. The developed model will help the agriculturist to take decision on efficient resource allocation with the aim of optimizing productivity and profitability of maize cropping system.