Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective

  title={Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective},
  author={Dhish Kumar Saxena and Kalyanmoy Deb},
  journal={2007 IEEE Congress on Evolutionary Computation},
Preferences are ubiquitous in real life - many problems are over-constrained and would not be solvable if we insist that all our requirements are strictly met. This paper portrays 'constraints' in an unconventional perspective, based on the realization that in order to truly maximize/minimize objective function(s), one has to optimize the feasible set. On a broader level, this paper acknowledges the need to move from 'optimizing the given', towards 'designing the optimal'. Here, the constraints… CONTINUE READING
Highly Cited
This paper has 37 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 20 extracted citations

Risk-sensitivity through multi-objective reinforcement learning

2015 IEEE Congress on Evolutionary Computation (CEC) • 2015
View 1 Excerpt

Multi-objectivization of reinforcement learning problems by reward shaping

2014 International Joint Conference on Neural Networks (IJCNN) • 2014
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 10 references

Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multiobjective optimization problems

K. Deb, D. K. Saxena
In IEEE Congress on Evolutionary Computation, • 2006
View 4 Excerpts
Highly Influenced

Optimization and robustness for crashworthiness of side impact

L. Gu, R. J. Yang, +3 authors Y. Li
International Journal of Vehicle Design, • 2001
View 3 Excerpts
Highly Influenced

Optimization, optimal design and de novo programming: Discussion notes

M. Zeleny
Advances in Computational Optimization and its Applications, • 2007
View 2 Excerpts

Coello Coello . Treating Constraints as Objectives for Single - Objective Evolutionary Optimization

A Carlos
E ngineering Optimization • 2000

Optimal design with multiple criteria: De novo programming approach

M. Zeleny
Engineering Costs and Production Economics, • 1986
View 1 Excerpt

Similar Papers

Loading similar papers…