Evolutionary Algorithms for Single and Multicriteria Design Optimization
By A. Osyczka. 2001
341 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e0f97bf9df9bd659e89defff40e4ae9514568196
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- R. Venkata Rao
- Vimal J. Savsani
- Wei-guo Zhao
- Liying Wang
- Aravind Srinivasan
- Kalyanmoy Deb
- Zhenxing Zhang
- D. Vakharia
Citations in the corpus
- Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems (2011, background): “Multiple disc clutch brake This problem is taken from [23].”
- Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm (2019, methodology): “This problem, taken from [114] as shown in Fig.”
- Innovization: innovating design principles through optimization (2006, background): “In this problem, a multiple clutch brake [12], as shown in Figure 2, needs to be designed.”
- Identification of the Cooling Condition in 2-D and 3-D Continuous Casting Processes (2009, background): “The fitness function may be equal to the objective function or dependent on it in another manner [26, 27].”