An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, and optimization processes for solving many different problems. The experimental design method, Central Composite, Full Factorial, Taguchi, Box Behnken, and D-Optimal methods are used, and the effects of the data sets obtained by these methods on mathematical modeling...

An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, and optimization processes for solving many different problems. The experimental design method, Central Composite, Full Factorial, Taguchi, Box Behnken, and D-Optimal methods are used, and the effects of the data sets obtained by these methods on mathematical modeling are investigated.

This book will help graduates and senior undergraduates in courses on experimental design, modeling, optimization, and interdisciplinary engineering studies. It would also be of interest to R&D engineers and professionals working in scientific institutions based on design, modeling, and optimization.