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Original Articles

Multi-objective optimization in spatial planning: Improving the effectiveness of multi-objective evolutionary algorithms (non-dominated sorting genetic algorithm II)

Pages 601-621 | Received 26 Sep 2013, Accepted 18 Mar 2014, Published online: 22 Apr 2014

References

  • Baker, J. E. 1985. “Adaptive Selection Methods for Genetic Algorithms.” In: Proceedings of an International Conference on Genetic Algorithms and Their Applications, 101–111. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Branke, J. 2008. “Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization.” In Multiobjective Optimization—Lecture Notes in Computer Science, vol. 5252, 157–178. Berlin: Springer.
  • Cao, K., M. Batty, B. Huang, Y. Liu, L. Yu, and J. Chen. 2011. “Spatial Multi-Objective Land Use Optimization: Extensions to the Non-Dominated Sorting Genetic Algorithm-II.” International Journal of Geographical Information Science 25 (12): 1949–1969. doi: 10.1080/13658816.2011.570269
  • Datta, D., K. Deb, C. M. Fonseca, F. Lobo, and P. Condado. 2007. “Multi-Objective Evolutionary Algorithm for Land-Use Management Problem.” International Journal of Computational Intelligence Research 3 (4): 1–24.
  • Datta, D., C. M. Fonseca, and K. Deb. 2008. “A Multi-Objective Evolutionary Algorithm to Exploit the Similarities of Resource Allocation Problems.” Journal of Scheduling 11: 405–419. doi: 10.1007/s10951-008-0073-9
  • Deb, K. 2001. Multi-Objective Optimization using Evolutionary Algorithms. Chichester, UK: John Wiley & Sons.
  • Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan. 2000. “A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II.” In: Proceedings of the Parallel Solving from Nature VI (PPSN-VI), 849–858. Berlin: Springer.
  • Deb, K., and N. Padhye. 2010. “Development of Efficient Particle Swarm Optimizers by Using Concepts from Evolutionary Algorithms.” In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO ’10), 55–62, Portland, Oregon, USA: ACM.
  • Eberhart, R., and Y. Shi. 1998. “Comparison Between Genetic Algorithms and Particle Swarm Optimization.” In: Proceedings of the Seventh Annual Conference on Evolutionary Programming, 611–619, EP98 San Diego, California, USA. Berlin: Springer.
  • Fotakis, D., and E. Sidiropoulos. 2011. “Combined Land-Use and Water Allocation Planning.” Annals of Operations Research 218 (9): 5168–5180.
  • Fotakis, D., E. Sidiropoulos, D. Myronidis, and K. Ioannou. 2012. “Spatial Genetic Algorithm for Multi-Objective Forest Planning.” Forest Policy and Economics 21: 12–19. doi: 10.1016/j.forpol.2012.04.002
  • Geem, Z. W., and J. Hong. 2013. “Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm.” Mathematical Problems in Engineering, Article ID 481364. 10.1155/2013/481364.
  • Gen, M., and R. Cheng. 1997. Genetic Algorithms and Engineering Design. New York: Wiley.
  • Ghiasi, H., D. Pasini, and L. Lessard. 2011. “A Non-Dominated Sorting Hybrid Algorithm for Multi-Objective Optimization of Engineering Problems.” Engineering Optimization 43 (1): 39–59. doi: 10.1080/03052151003739598
  • Goldberg, D. E. 1989. Genetic Algorithms for Search, Optimization and Machine Learning. Boston, MA: Addison-Wesley.
  • Goldberg, D. E., and K. Deb. 1991. “A Comparison of Selection Schemes Used in Genetic Algorithms.” In: Foundations of Genetic Algorithms 1 (FOGA-1), 69–93, Bloomington Campus, Indiana, USA: Morgan Kaufmann.
  • Hajela, P., and C.-Y. Lin. 1993. “Genetic Algorithms in Structural Topology Optimization.” In: Proceedings of the NATO Advanced Research Workshop on Topology Design of Structures, 117–133, Portugal: Kluwer.
  • Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press.
  • Horn, J., N. Nafpliotis, and D. Goldberg. 1994. “A Niched Pareto Genetic Algorithm for Multi-Objective Optimization.” In: Proceedings of the First IEEE Conference on Evolutionary Computation, 82–87, Orlando, FL: IEEE Neural Networks Council.
  • Karakostas, S., and D. Economou. 2014. “Enhanced Multi-Objective Optimization Algorithm for Renewable Energy Sources: Optimal Spatial Development of Wind Farms.” International Journal of Geographical Information Science 28 (1): 83–103. doi: 10.1080/13658816.2013.820829
  • Kennedy, J., and R. C. Eberhart. 1995. “Particle Swarm Optimization.” In: Proceedings of IEEE International Conference on Neural Networks, 4, 1942–1948, Perth, Australia. Piscataway, NJ: IEEE Press.
  • Knowles, J. D., and D. W. Corne. 2000. “Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy.” Evolutionary Computation 8: 149–172. doi: 10.1162/106365600568167
  • Kursawe, F. 1990. “A Variant of Evolution Strategies for Vector Optimization.” In: Parallel Problem Solving from Nature I (PPSN-I), 193–197, Dortmund, Germany: Springer.
  • Laumanns, M., L. Thiele, K. Deb, and E. Zitzler. 2002. “Combining Convergence and Diversity in Evolutionary Multiobjective Optimization.” Evolutionary Computation 10 (3): 263–282. doi: 10.1162/106365602760234108
  • Ligmann-Zielinska, A., R. L. Church, and P. Jankowski. 2005. “Sustainable Urban Land Use Allocation with Spatial Optimization.” In: Conference Proceedings—The 8th International Conference on Geocomputation, August 1–3 2005, University of Michigan, Eastern Michigan University, USA.
  • Masoomi, Z., M. S. Mesgari, and M. Hamrah. 2013. “Allocation of Urban Land Uses by Multi-Objective Particle Swarm Optimization Algorithm.” International Journal of Geographical Information Science 27 (3): 542–566. doi: 10.1080/13658816.2012.698016
  • Michalewicz, Z. 1992. Genetic Algorithms + Data Structures = Evolution Programs. Berlin: Springer.
  • Mitchell, M. 1996. Introduction to Genetic Algorithms. Cambridge, MA: MIT Press.
  • Schaffer, J. D. 1985. “Multiple Objective Optimization with Vector Evaluated Genetic Algorithms, Genetic Algorithms and their Applications.” In: Proceedings of the first International Conference on Genetic Algorithms, 93–100, Pittsburgh, PA, USA: Lawrence Erlbaum Associates.
  • Shifa, M., H. Jianhua, and L. Feng. 2011. “Land-Use Spatial Optimization Based on PSO Algorithm.” Geo-spatial Information Science 14 (1): 54–61. doi: 10.1007/s11806-011-0437-8
  • Spears, W. M. 1998. The Role of Mutation and Recombination in Evolutionary Algorithms. Thesis (PhD). Fairfax, VA: George Mason University.
  • Srinivas, N., and K. Deb. 1994. “Multi-Objective Function Optimization Using Non-Dominated Sorting Genetic Algorithms.” Evolutionary Computational Journal 2 (3): 221–248. doi: 10.1162/evco.1994.2.3.221
  • Vose, M. D. 1999. Simple Genetic Algorithm: Foundation and Theory. Cambridge, MA: MIT Press.
  • Yijie, S., and S. Gongzhang. 2008. “Improved NSGA-II Multi-Objective Genetic Algorithm Based on Hybridization-Encouraged Mechanism.” Chinese Journal of Aeronautics 21: 540–549. doi: 10.1016/S1000-9361(08)60172-7
  • Zitzler, E., M. Laumanns, and L. Thiele. 2002. “SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization.” In: Proceedings of the EUROGEN2001 Conference, 95–100, Barcelona, Spain: CIMNE.
  • Zitzler, E., and L. Thiele. 1999. “Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach.” IEEE Transactions on Evolutionary Computation 3: 257–271. doi: 10.1109/4235.797969

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