PSOSA: An optimized particle swarm technique for solving the urban planning problem

2006 International Conference on Computer Engineering and Systems, ICCES'06

Volumn , Issue , 2006, Pages 401-405

  Al Hassan, W ^a   Fayek, M B ^a   Shaheen, S I ^a  

^a CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

APPLIED (CO); COMPUTER ENGINEERING (CE); CONVERGENCE SPEEDS; INERTIA WEIGHT; INTERNATIONAL CONFERENCES; MULTI-OBJECTIVE FITNESS FUNCTION; NUMBER OF BLOCKS; OVERLAPPING CONSTRAINTS; PARTICLE SWARMS; PLANNING PROBLEMS; RELATIVE POSITIONING;

ANNEALING; CONVERGENCE OF NUMERICAL METHODS; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; OPTIMIZATION; PROJECT MANAGEMENT; URBAN PLANNING;

SIMULATED ANNEALING;

EID: 46249118547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCES.2006.320481     Document Type: Conference Paper

References (6)

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2. J. Kennedy, R. C. Eberhart, & Y. Shi, Swarm Intelligence (Morgan Kaufmann, CA: Academic Press, 2001).
3. J. Kennedy, R. C. Eberhart, Particle Swarm Optimization. Proc. of 4th IEEE International Conf. on Neural Networks, Perth, WA, Australia, 1995, 1942-1948.
4. S. Kirkpatrick, C. D. Gelatt, & M. P. Vecchi, Optimization by Simulated Annealing. Journal of Science, 220(4598), 1983, 671-680.
5. M. Lovbjerg, T.K. Rasmussen, & T. Krink, A Hybrid Particle Swarm Optimiser with Breeding and Subpopulations. A tutorial review. Proc. of the third Genetic and Evolutionary Computation Conf. (GECCO-2001), San Francisco, CA, 2001, 469-476.
6. th IEEE congress on Evolutionary Computation, Honolulu, Hawaii, 2002, 1588-1593.