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This paper presents two AI-based case studies aimed at enhancing data-driven approaches to urban planning in relation to diverse topographical conditions towards sustainable development strategies and new urban typologies. The first case study employed a genetic algorithm to identify optimal spatial arrangements for agriculture, photovoltaic energy generation, and urban structure development. The analysis was conducted across three distinct Slovak topographies: riverlands, mountainous areas, and the existing urban...