Probability-Based Multi-objective Optimization for Material Selection, 2nd ed.

This book ilustrates a new concept of preferable probability and its assessment for material selection; it inolves experimental design, robustness, discretization, fuzzy value and cluster analysis in the new method; it covers applications in portfolio investment and shortest path for the first time.

Maosheng Zheng

Dec 10, 2023

International Journal on Interactive Design and Manufacturing (IJIDeM)

Behind the Paper

Application of probabilistic multi-objective optimization in material milling

In the PMOO, a new concept of “preferable probability” is introduced, and the objectives are preliminarily divided into two basic types, i.e., beneficial and unbeneficial type. The total preferable probability is the product of all partial preferable probabilities, which is the decisive indicator.

Maosheng Zheng

Dec 10, 2023

Journal of Umm Al-Qura University for Engineering and Architecture

Behind the Paper

Study of optimization for material processing parameters by means of probabilistic methodology for multi‑objective optimization

Selection and use of proper processing parameters are quite important for material machining. In the present paper, the probabilistic methodology is employed to perform the designs of materials processing for improving quality and cost saving at the same time.

Maosheng Zheng

Dec 08, 2023

Maosheng Zheng

Probability-Based Multi-objective Optimization for Material Selection, 2nd ed.

Application of probabilistic multi-objective optimization in material milling

Study of optimization for material processing parameters by means of probabilistic methodology for multi‑objective optimization

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