Discrete Optimization Capabilities in GENESIS Structural Analysis and Optimization Software

Abstract

A new approach to solve large-scale discrete variable optimization problems is presented. The discrete variable optimization algorithm in Vanderplaats Research and Development's GENESIS  is based on Sequential Unconstrained Minimization Technique (SUMT), which allows one to solve very large optimization problems with discrete design variables using limited memory. Numerical examples are presented to demonstrate the accuracy and efficiency of new computational algorithms to perform largescale structural analysis and optimization involving discrete design variables.