Particle swarm optimization method in multiobjective problems

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2002, Pages 603-607

  Parsopoulos K E ^a   Vrahatis, M N ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Multiobjective optimization; Particle swarm optimization

Indexed keywords

ADAPTIVE ALGORITHMS; FUNCTION EVALUATION; GRADIENT METHODS; OBJECT ORIENTED PROGRAMMING; OPTIMIZATION; PARETO PRINCIPLE;

MULTIOBJECTIVE OPTIMIZATION; PARETO FRONT; PARETO OPTIMAL POINTS; PARTICLE SWARM OPTIMIZATION; WEIGHTED AGGREGATION;

GENETIC ALGORITHMS;

EID: 0036037107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/508791.508907     Document Type: Conference Paper

References (21)

1. A genetic algorithm for fitting Lorentzian line-shapes in Mossbauer-spectra
2. Evolutionary programming techniques for predicting inorganic crystal-structures
3. A new optimizer using particle swarm theory
4. Evolving artificial neural networks
5. Particle swarm optimization
6. Approximating the nondominated front using the Pareto archived evolution strategies
7. Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how?
8. Objective function "stretching" to alleviate convergence to local minima
9. Stretching technique for obtaining global minimizers through particle swarm optimization
10. Modification of the particle swarm optimizer for locating all the global minima
11. Particle swarm optimizer in noisy and continuously changing environments
12. Application of the smooth genetic algorithm for indexing powder patterns: Test for the orthorhombic system
13. Multiple objective optimization with vector evaluated genetic algorithms
14. Implementation of evolutionary fuzzy systems
15. Neural networks in computational materials science: Training algorithms
16. Applying an analytical approach to shop-floor scheduling: A case-study
17. Evolutionary algorithms for multiobjective optimization: Methods and applications
18. Comparison of multiobjective evolution algorithms: Empirical results