Multiobjective optimum design of rotor-bearing systems with dynamic constraints using immune-genetic algorithm

Journal of Engineering for Gas Turbines and Power

Volumn 123, Issue 1, 2001, Pages 78-81

  Choi B K , Yang B S ^a  

^a Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); GENETIC ALGORITHMS; OPTIMIZATION; SHAFTS (MACHINE COMPONENTS);

ROTOR-BEARING SYSTEMS;

ROTORS;

BEARING; DESIGN; GENETIC ALGORITHM; OPTIMIZATION; ROTOR;

EID: 0035239148     PISSN: 07424795     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1338952     Document Type: Article

References (9)

1. Multi-optimization by immune algorithm with diversity and learning
2. An evolutionary optimization based on the immune system and its application to the VLSI floorplan design problem
3. Global optimization by a Niche method for evolutionary algorithm
4. Optimum shape design of rotor shafts using genetic algorithm
5. Optimum weight design of a rotor bearing system with dynamic behavior constraints
6. Multiobjective optimization of rotor-bearing system with critical speed constraints