Engineering
R. Marler, J. Arora
tlooto Summary
A survey of current continuous nonlinear multi-objective optimization concepts and methods finds that no single approach is superior and depends on the type of information provided in the problem, the user's preferences, the solution requirements, and the availability of software.
Abstract
Abstract is not available.
Citation format
MARLER, R.; ARORA, J. Survey of multi-objective optimization methods for engineering. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2004, 26: 369–395.