Development, application, and comparison of hybrid meta-heuristics for urban land-use allocation optimization: Tabu search, genetic, GRASP, and simulated …
M Mohammadi, M Nastaran, A Sahebgharani - … , Environment and Urban …, 2016 - Elsevier
Land-use optimization problem (LUOP) that seeks to allocate different land types to land
units involves various dimensions and deals with numerous conflicting objectives and a …
units involves various dimensions and deals with numerous conflicting objectives and a …
Multi-objective land use optimization through parallel particle swarm algorithm: case study baboldasht district of Isfahan, Iran
A Sahebgharani - Journal of Urban and Environmental Engineering, 2016 - JSTOR
Land use planning seeks to divide land, the most valuable resource in the hands of
planners, among different land types. During this process, various conflicting objectives are …
planners, among different land types. During this process, various conflicting objectives are …
[PDF][PDF] Sustainable spatial land use optimization through non-dominated sorting Genetic Algorithm-II (NSGA-II):(Case Study: Baboldasht District of Isfahan)
M Mohammadi, M Nastaran… - Indian Journal …, 2015 - sciresol.s3.us-east-2.amazonaws …
A heuristic method named as non-dominated sorting genetic algorithm version two (NSGA-
II) is developed for multiobjective land use allocation based on the concept of sustainable …
II) is developed for multiobjective land use allocation based on the concept of sustainable …
A Markovian measure for evaluating accessibility to urban opportunities
A Sahebgharani, M Mohammadi… - Journal of transport and …, 2019 - JSTOR
Accessibility is a fundamental notion in urban planning and its related fields. While
accessibility is dynamic and varies during different time moments, most of the accessibility …
accessibility is dynamic and varies during different time moments, most of the accessibility …