A Genetic Algorithm and Fuzzy Approach (GAFA) for Constrained Nonlinear Optimization in Design
Author:
Affiliation:
1. a Department of Mechanical Engineering , Texas A&M University, College Station , TX , USA
2. b College of Business , Southwest Texas State University , San Marcos , TX , USA
Publisher
Informa UK Limited
Subject
Computational Mathematics,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/15502280500388060
Reference22 articles.
1. Antonsson , E. K. and Otto , K. N. “Improving engineering design with fuzzy sets,”. http://design.mit.edu, January 10, 1995
2. TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION
3. MOSES: A MULTIOBJECTIVE OPTIMIZATION TOOL FOR ENGINEERING DESIGN
4. Using a new GA-based multiobjective optimization technique for the design of robot arms
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