Michalewicz, Z., K. Deb, M. Schmidt, and T. Stidsen (1999). Test-case Generator for Constrained Parameter Optimization Techniques, submitted for publication. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Towards Understanding Constraint-Handling Methods in.. - Michalewicz, Deb (1999) (2 citations) Self-citation (Michalewicz Deb Schmidt Stidsen) (Correct)
....could be easily tuned. Then it would be possible to evaluate merits and drawbacks of the available methods as well as test new methods efficiently. Section 2 discusses further the need for a such scalable test suite, whereas section 3 presents a particular test case generator proposed recently [3]. Section 4 provides an example of the use of this test case generator for evaluation of a particular constraint handling method. Section 5 concludes the paper. 2 A need for a test case generator It is not clear what characteristics of a constrained problem make it difficult for an evolutionary ....
....search space changes as a function of the ratio between the sizes of the feasible part and the whole search space what is the relationship between the number of constraints (or the number of dimensions, for example) of a problem and the computational effort of a method and many others. In [3] a parameterized test case generator T CG was proposed: T CG(n; w; which control: n the number of variables of the problem w the number of optima in the search space the number of constraints (inequalities) the connectedness of the feasible search regions ....
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Michalewicz, Z., K. Deb, M. Schmidt, and T. Stidsen (1999). Test-case Generator for Constrained Parameter Optimization Techniques, submitted for publication.
Evolutionary Algorithms for Engineering Applications - Michalewicz, Deb, Schmidt.. (1997) (19 citations) Self-citation (Michalewicz Deb Schmidt Stidsen) (Correct)
....could be easily tuned. Then it would be possible to evaluate merits and drawbacks of the available methods as well as test new methods eciently. Section 1.3 discusses further the need for a such scalable test suite, whereas section 1. 4 presents a particular test case generator proposed recently [23]. Section 1.5 provides an example of the use CONSTRAINT HANDLING METHODS iii of this test case generator for evaluation of a particular constraint handling method. Section 1.6 concludes the paper. 1.2 CONSTRAINT HANDLING METHODS The general nonlinear programming (NLP) problem is to nd x so as ....
....method changes as a function of the ratio between the sizes of the feasible part and the whole search space what is a relationship between the number of constraints (or the number of dimensions, for example) of a problem and the computational e ort of a method and many others. In [23] a parameterized test case generator T CG was proposed: T CG(n; w; the meaning of its six parameters is as follows: n the number of variables of the problem w a parameter to control the number of optima in the search space a parameter to control the number of constraints ....
[Article contains additional citation context not shown here]
Michalewicz, Z., K. Deb, M. Schmidt, and T. Stidsen, Test-case Generator for Constrained Parameter Optimization Techniques, submitted for publication.
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