Design | Psyops Prime https://psyopsprime.com An Idea Log Tue, 16 May 2017 13:05:10 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 99640787 Computational Urban Planning https://psyopsprime.com/ideas/computational-urban-planning/?utm_source=rss&utm_medium=rss&utm_campaign=computational-urban-planning https://psyopsprime.com/ideas/computational-urban-planning/#respond Tue, 16 May 2017 06:25:03 +0000 http://psyopsprime.com/?p=1568 Sometimes mundane interactions can lead to interesting ideas. I was talking to a friend about what could be a worthwhile research problem. We thought that how

The post Computational Urban Planning first appeared on Psyops Prime.]]> Sometimes mundane interactions can lead to interesting ideas. I was talking to a friend about what could be a worthwhile research problem. We thought that how nice it would be to be able to design better cities, towns, and villages. Most of our rural infrastructure is unplanned. And most of our cities are poorly designed. If we could plan our future cities, towns and villages in a better way, quality of life and the human condition could be improved tremendously. In this article, I am sharing online resources that are relevant for computational urban/town planning.

Computational Approaches for Urban Environments

Marco Helbich Department of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands Jamal Jokar Arsanjani Institute of Geography, Heidelberg University, Heidelberg, Germany Michael Leitner Dept.

No Title

Application of Genetic Algorithm to Spatial Distribution in Urban Planning | IEEE Conference Publication | IEEE Xplore

Application of Advanced Hybrid Genetic Algorithms for Optimal Locations of High School

In this study, an advanced hybrid genetic algorithms is formulated and applied to the optimal location of high schools in a rural area of Bangladesh. The advanced hybrid algorithms consist of genetic algorithm and alternating location allocation algorithm. The model…

City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner

A genetic algorithm was used to search for optimal future land use and transportation plans for a pair of high-growth cities. Hundreds of thousands of plans were considered. Constraints were imposed to insure adequate housing for future residents. Objectives included…

A linguistic cellular automata simulation approach for sustainable land development in a fast growing region

Rapid rural-urban land conversion as a consequence of economic growth has raised serious concerns over sustainable development. There is an urgent nee…

No Title

PSOSA: An Optimized Particle Swarm Technique for Solving the Urban Planning Problem | IEEE Conference Publication | IEEE Xplore

Photo by varunshiv

The post Computational Urban Planning first appeared on Psyops Prime.]]> https://psyopsprime.com/ideas/computational-urban-planning/feed/ 0 https://creativecommons.org/licenses/by-nc-nd/4.0/ 1568