in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

land-use spatial allocation is a multi-objective collaborative spatial optimization methodfor rational use of the land use. based on global search capabilities and the information feedbackmechanism of ant colony optimization (aco), a land-use spatial allocation model (aco-la) isproposed. firstlyfirst, a construction graph is built for modeling the land-use spatial allocationproblem. secondlysec...

in recent decades, as a result of population growth, industrial developments, scarcity of sources, etc. more attention has been paid to spatial planning. spatial planning needs the consideration of different goals, scenarios, criterions and constraints, which leads us to the usage of spatial multi-criteria decision analysis (mcda) methods. the mail goal of this research is to develop a novel mo...

limitation of water resources in the earth has turned it as a valuable economic commodity. accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of gis in order to management of the water res...

in this paper, landscape allocation using genetic algorithm (laga), a spatial multi-objective land use optimization software is introduced. the software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. laga is a flexible and easy to use genetic algorithm-based software for optimizing the sp...