%0 Journal Article %1 citeulike:4140124 %A Homaifar, Abdollah %A Qi, Charlene X. %A Lai, Steven H. %D 1994 %J SIMULATION %K imported %N 4 %P 242--253 %R 10.1177/003754979406200405 %T Constrained Optimization Via Genetic Algorithms %U http://dx.doi.org/10.1177/003754979406200405 %V 62 %X This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose optimization algorithms which apply the rules of natural genetics to explore a given search space. When GAs are applied to nonlinear constrained problems, constraint handling becomes an important issue. The proposed search algorithm is realized by GAs which utilize a penalty function in the objective function to account for violation. This extension is based on systematic multi-stage assignments of weights in the penalty method as opposed to single-stage assignments in sequential unconstrained minimization. The experimental results are satisfactory and agree well with those of the gradient type methods.

@article{citeulike:4140124, abstract = {{This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose optimization algorithms which apply the rules of natural genetics to explore a given search space. When GAs are applied to nonlinear constrained problems, constraint handling becomes an important issue. The proposed search algorithm is realized by GAs which utilize a penalty function in the objective function to account for violation. This extension is based on systematic multi-stage assignments of weights in the penalty method as opposed to single-stage assignments in sequential unconstrained minimization. The experimental results are satisfactory and agree well with those of the gradient type methods.}}, added-at = {2012-03-02T03:39:18.000+0100}, author = {Homaifar, Abdollah and Qi, Charlene X. and Lai, Steven H.}, biburl = {https://www.bibsonomy.org/bibtex/2bfbf83eed8cbb896a581c860e7f2f20c/baby9992006}, citeulike-article-id = {4140124}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/003754979406200405}, citeulike-linkout-1 = {http://sim.sagepub.com/cgi/content/abstract/62/4/242}, day = 1, doi = {10.1177/003754979406200405}, interhash = {180c36cafd49144abd495173dda0559a}, intrahash = {bfbf83eed8cbb896a581c860e7f2f20c}, journal = {SIMULATION}, keywords = {imported}, month = apr, number = 4, pages = {242--253}, posted-at = {2012-02-14 01:39:32}, priority = {2}, timestamp = {2012-03-02T03:39:24.000+0100}, title = {{Constrained Optimization Via Genetic Algorithms}}, url = {http://dx.doi.org/10.1177/003754979406200405}, volume = 62, year = 1994 }