Study of population diversity of multiobjective evolutionary algorithm based on immune and entropy principles

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2001, Pages 1316-1321

  Cui, X ^a   Li, M ^a   Fang, T ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Diversity; Entropy; Evolutionary algorithm; Immune; Multiobjective optimization

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; GENETIC ALGORITHMS; OPTIMIZATION;

MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS (MOEA);

COMPUTER NETWORKS;

EID: 0034870040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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5. Genetic algorithms with sharing for multimodal function optimization
6. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
7. The lessons of flow shop scheduling research
8. Genetic algorithm with a Pareto partitioning method for multiobjective flowshop scheduling
9. Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization