Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization

@article{Elfeky2008AnalyzingTS,
  title={Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization},
  author={Ehab Z. Elfeky and Ruhul A. Sarker and Daryl Essam},
  journal={Journal of Computer Science and Technology},
  year={2008},
  volume={23},
  pages={19-34}
}
Many optimization problems that involve practical applications have functional constraints, and some of these constraints are active, meaning that they prevent any solution from improving the objective function value to the one that is better than any solution lying beyond the constraint limits. Therefore, the optimal solution usually lies on the boundary of the feasible region. In order to converge faster when solving such problems, a new ranking and selection scheme is introduced which… CONTINUE READING
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References

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Stochastic ranking for constrained evolutionary optimization

IEEE Trans. Evolutionary Computation • 2000
View 10 Excerpts
Highly Influenced

Evolutionary programming based on non-uniform mutation

Applied Mathematics and Computation • 2007
View 3 Excerpts
Highly Influenced

A generic framework for constrained optimization using genetic algorithms

S Venkatraman, G G.Yen
IEEE Transactions on Evolutionary Computation, • 2005
View 7 Excerpts
Highly Influenced

Search biases in constrained evolutionary optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) • 2005
View 8 Excerpts
Highly Influenced

Self-adaptive fitness formulation for constrained optimization

IEEE Trans. Evolutionary Computation • 2003
View 7 Excerpts
Highly Influenced

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