Optimizing Engineering Designs Using a Combined Genetic Search

  title={Optimizing Engineering Designs Using a Combined Genetic Search},
  author={Kalyanmoy Deb and Mayank Goyal},
In the optimization of engineering designs, traditional search and optimization methods face at least two diiculties: (i) since each is specialized in solving a particular type of problem, one method does not work well on diierent types of problems (ii) most of them are designed to work on continuous search spaces. Since diierent optimal engineering design problems give rise to objective and constraint functions of varying degree of nonlinearity and since most engineering design problems… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 12 references

Nonlinear integer and discrete pro

E. Sandgren
View 5 Excerpts
Highly Influenced

Simulated binary crossover for real

R. Agrawal
View 4 Excerpts
Highly Influenced

Genetic algorithms for real parameter

A. Wright
View 4 Excerpts
Highly Influenced

An augmentedLagrange multiplier based method for mixed integerdiscrete continuous optimization and its applicationsto mechanical design

B. K. Kannan, S. N. Kramer
Journal of Mechanical Design • 1995

Multiobjective function

N. Srinivas, K. Deb

Multiobjective functionoptimization using nondominated sorting genetic algorithms

N. Marcel Dekker. Srinivas, K. Deb
Evolutionary Computation • 1995

Real - codedgenetic algorithms and interval schemata

L. J. Eshelman, J. D. Scha er
Foundations of Genetic Algorithms • 1993
View 1 Excerpt

Genetic algorithms for real parameteroptimization

A. Wright
View 2 Excerpts

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