Stochastic genetic strategy in multi-objectives optimization.
Gwee, Bah Hwee.
Date of Issue1998
School of Electrical and Electronic Engineering
The approaches to tackling optimization problems of multiple-objectives can be classified into 3 categories. In the first category, a problem of n number of objectives is formulated as an «-stage problem with each stage being a single objective problem. At each stage, the technique will concentrate on searching for the best point to achieve a particular objective. For the second category of techniques, all the objectives of a problem are considered together with the goal of finding a good solution which achieves all the objectives simultaneously. The third category of approaches involves finding all the efficient solutions or non-inferior solutions from which the solution is chosen.
DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity