Bibliographic Details
| Title: |
Using Augmented Lagrangian Particle Swarm Optimization for Constrained Problems in Engineering. |
| Authors: |
Eberhard, Peter, Sedlaczek, Kai |
| Source: |
Advanced Design of Mechanical Systems: From Analysis to Optimization; 2009, p253-271, 19p |
| Abstract: |
The general nonlinear optimization problem is given by the nonlinear objective function f, which is to be minimized with respect to the design variables x and the nonlinear equality and inequality constraints. This can be formulated by 12.1 ]> subject to the nonlinear equality and inequality constraints 12.2 ]> 12.3 ]> which define the feasible region ]> and the search space ]> is additionally bounded by the simple bounds 12.4 ]> [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |