Ant Colony Strategy and Desirability Function Approach for Continuous Correlated Multiple Response Optimization Problems

摘要

In Quality Engineering and Management Field, multiple response optimization problems is critical and important area of research. These problems may be correlated or uncorrelated. For various multimodal single and multi-response optimization problems, meta-heuristics iterative search strategies provide satisfactory global solution. In this paper, ant colony optimization strategy with desirability function approach are used to optimize correlated multi-response problems. The multi-response optimization problems are modeling by using ordinary least-square regression.