Innovization: innovating design principles through optimization
By Kalyanmoy Deb, Aravind Srinivasan. 2006
344 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Computational Theory and Mathematics
- Kalyanmoy Deb
- Hisao Ishibuchi
- Yaochu Jin
- Ryoji Tanabe
- Yashesh D. Dhebar
- Udaya Bhaskara
- Rao N
- Shivam Gupta
In Statistics and Probability
- Kalyanmoy Deb
- Shivam Gupta
- Hisao Ishibuchi
- Ryoji Tanabe
- Yashesh D. Dhebar
- Yaochu Jin
- Qingfu Zhang
- Ye Tian
Citations in the corpus
- Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems (2020, background): “While it is encouraging, the use of customization methods for initialization and genetic operators using problem heuristics and/or recently proposed innovization methods [39] in the upper level problem can be tried.”
- An easy-to-use real-world multi-objective optimization problem suite (2020, methodology): “CRE2-3-1 Two bar truss design [27] RE3-3-1 2 3 3 Continuous CRE2-4-2 Welded beam design [28] RE3-4-2 2 4 4 Continuous CRE2-4-3 Disc brake design [28] RE3-4-3 2 4 4 Continuous CRE2-7-4 Speed reducer design [30] RE3-7-5 2 7 11 Mixed CRE2-4-5 Gear train design [31] RE3-4-6 2 4 1 Integer CRE3-7-1 Car si”
- Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems (2020, background): “1) Truss 2D: Truss 2D problem [46] is a three-variable problem.”
- Reference point based multi-objective optimization using evolutionary algorithms (2006, methodology): “Denoting the variable vectorx =( x1 ,x 2 ,x 3 )=( N, d, D), we write the two-objective, eight-constraint optimization problem as follows [ 11 ]:”
- Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction (2011, background): “In a number of practical problem-solving tasks, the so-called innovization procedure is shown to find important knowledge about high-performing solutions [45].”
- Understanding knee points in bicriteria problems and their implications as preferred solution principles (2011, methodology): “Innovization is a technique to unveil important solution principles common to a set of Pareto-optimal solutions (Deb and Srinivasan 2006 ).”