Generating future land-use and transportation plans for high-growth cities using a genetic algorithm

Computer-Aided Civil and Infrastructure Engineering

Volumn 19, Issue 3, 2004, Pages 213-222

  Balling, Richard ^a   Powell, Brent ^a   Saito, Mitsuro ^a  

^a Brigham Young University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DESIGN; EFFICIENCY; REGIONAL PLANNING; TRAFFIC CONTROL;

EMPLOYMENT CAPACITY; TRAFFIC CONGESTION;

GENETIC ALGORITHMS;

GENETIC ALGORITHM; LAND USE PLANNING; TRANSPORTATION PLANNING; URBAN AREA;

EID: 1842588967     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2004.00349.x     Document Type: Article

References (7)

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2. Balling, R. J., Taber, J. T., Day, K. & Wilson, S. A. (2000), Land use and transportation planning for twin cities using a genetic algorithm, Transportation Research Record, 1722, 67-74.
3. Deb, K. (2001), Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, Chichester, UK.
4. Dial, R. B. (1971), A probabilistic multipath traffic assignment model which obviates path enumeration, Transportation Research, 5, 83-111.
5. Dorn, J. L. & Ranjithan, S. R. (2003), Evolutionary multi-objective optimization in watershed quality management, in Proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, Springer, Berlin, 692-706, April 8-11, Faro, Portugal.
6. Formiga, K. T. M., Chaudry, F. H., Cheung, P. B. & Reis, L. F. R. (2003), Optimal design of water distribution system by multiobjective evolutionary methods, in Proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, Springer, Berlin, 677-91, April 8-11, Faro, Portugal.
7. Institute of Transportation Engineers (1998), Trip Generation, 6th edn., Washington, DC.