Details

Title

A new genetic approach for transport network design and optimization

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2011

Volume

59

Issue

No 3

Authors

Divisions of PAS

Nauki Techniczne

Coverage

263-272

Date

2011

Identifier

DOI: 10.2478/v10175-011-0032-z ; ISSN 2300-1917

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2011; 59; No 3; 263-272

References

Wardrop J. (1952), Some theoretical aspects of road traffic research, Proc. Institute of Civil Engineers, II, 325. ; Daganzo C. (1977), On stochastic models of traffic assignment, Transportation Science, 11, 3, 253, doi.org/10.1287/trsc.11.3.253 ; Vicente L. (1994), Bilevel and multilevel programming. A bibliography review, J. Global Optimization, 5, 291, doi.org/10.1007/BF01096458 ; Chen M. (1991), Algorithms for solving Fisk's stochastic traffic assignment model, Transportation Science, 25, 6, 405. ; Drezner Z. (1997), Selecting an optimum configuration of one-way and two-way routes, Transportation Science, 31, 386, doi.org/10.1287/trsc.31.4.386 ; Kuan S. (2004), Applying metaheuristics to feeder bus network design problem, Asia-Pacific J. Operational Research, 21, 4, 543, doi.org/10.1142/S0217595904000382 ; Abdulaal M. (1979), Continuous equilibrium network design models, Transportation Research B, 13, 19, doi.org/10.1016/0191-2615(79)90004-3 ; Friesz T. (1992), Simulated annealing methods for network design problems with variational inequality constraints, Transportation Science, 26, 1, 18, doi.org/10.1287/trsc.26.1.18 ; Gao Z. (2004), A continuous equilibrium network design model and algorithm for transit systems, Transportation Research B, 38, 235, doi.org/10.1016/S0191-2615(03)00011-0 ; Hensher D. (2004), Handbook of Transport Geography and Spatial System. ; Nagurney A. (2003), Spatial Equilibration in Transport Networks: Handbook of Transport Geography and Spatial Systems. ; Bureau of Public Roads, <i>Traffic Assignment Manual</i>, Dept. of Commerce, Urban Planning Division, Washington, 1964. ; Federal Highway Administration, <i>Traffing Monitoring Guide</i> <a target="_blank" href='http://www.fhwa.dot.gov/ohim/tmguide/index.htm'>http://www.fhwa.dot.gov/ohim/tmguide/index.htm</a> ; Hurkens C. (2007), Virtual private network design: a proof of the tree routing conjecture on ring networks, Siam J. Discrete Mathematics, 21, 482, doi.org/10.1137/050626259 ; Peric K. (2006), A combined model for intermodal networks with variable transit frequencies, null, 136. ; Marcotte P. (1992), Efficient implementation of heuristics for the continuous network design problem, Annals of Operations Research, 34, 163, doi.org/10.1007/BF02098178 ; Suwansirikul C. (1987), Equilibrium decomposed optimization: a heuristic for the continuous equilibrium network design problem, Transportation Science, 21, 254, doi.org/10.1287/trsc.21.4.254 ; Mourani H. (2007), Applying genetic algorithms to queuing network design, J. Automation and Systems Engineering, 1, 1, 32. ; Pattnaik S. (1998), Urban bus transit network design using genetic algorithm, J. Transportation Engineering, 124, 4, 368, doi.org/10.1061/(ASCE)0733-947X(1998)124:4(368) ; Karoonsoontawong A. (2006), Dynamic continuous network design problem: linear bi-level programming and metaheuristic approaches, J. Transportation Research Board, 1964, 104, doi.org/10.3141/1964-12 ; Dung-Ying L. (2009), A quantum-inspired genetic algorithm for dynamic continuous network design problem, Int. J. Transportation Research, 1, 1, 81, doi.org/10.3328/TL.2009.01.01.81-93 ; Fan W. (2006), Optimal transit route network design problem with variable transit demand: genetic algorithm approach, J. Transportation Engineering, 132, 40, doi.org/10.1061/(ASCE)0733-947X(2006)132:1(40) ; Ngamchai S. (2003), Optimal time transfer in bus transit route network design using a genetic algorithm, J. Transportation Engineering, 129, 5, 510, doi.org/10.1061/(ASCE)0733-947X(2003)129:5(510) ; Jeon K. (2006), New approach for relaxing computational complexity of discrete network design problem using selectorecombinative genetic algorithm, null, 1. ; Xiong Y. (1993), Transportation network design using a cumulative genetic algorithm and neural network, Transportation Research Record, 1364, 37. ; Holland J. (1992), Adaptation in natural and artificial systems: an introductory analysis with applications to biology, Control and Artificial Intelligence, 1. ; Calabretta R. (1996), Two is better than one: a diploid genotype for neural networks, Neural Processing Letters, 4, 1, doi.org/10.1007/BF00426023 ; Wang Y. (2010), An improved genetic algorithm based complex-valued encoding, IJCSNS Int. J. Computer Science and Network Security, 10, 6, 168. ; Kidwai F. (2005), A genetic algorithm based bus scheduling model for transit network, Proc. Eastern Asia Society for Transportation Studies, 5, 447. ; Dinu S. (2011), An intelligent modeling method based on genetic algorithm for partner selection in virtual organizations, Business and Economic Horizons, 5. ; Michalewicz Z. (1994), Evolutionary operators for continuous convex parameter space, Proc. Third Annual Conf. on Evolutionary Programming, 1, 84. ; Tabarzad M. (2006), Statistical genetic algorithm, Trans. on Engineering, Computing and Technology, 14, 100.
×