Land-use allocation is a multiobjective optimization problem as it involves multiple stakeholders with conflicting goals and objectives. In this paper we optimize both land price and incompatibility among adjacent land uses of an area and try to solve the problem with a widely used heuristic approach called the genetic algorithm. The goal is to look for an effective, computationally easy, and efficient tool for land-use planners to use in generating and evaluating feasible land-use plans to facilitate the decision-making process. The model is demonstrated through a case study of the capital city of Bangladesh.
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