Explore: Design Optimization

Multi-disciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number of

Design optimization is an engineering design methodology using a mathematical formulation of a design problem to support selection of the optimal design

Topological optimization techniques can then help work around the limitations of pure shape optimization. Mathematically, shape optimization can be posed

Topology optimization is different from shape optimization and sizing optimization in the sense that the design can attain any shape within the design space

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from

Architectural design optimization (ADO) is a subfield of engineering that uses optimization methods to study, aid, and solve architectural design problems

Bayesian optimization is a sequential design strategy for global optimization of black-box functions, that does not assume any functional forms. It is

Sequential logic optimization Combinational logic optimization Based on type of execution Graphical optimization methods Tabular optimization methods Algebraic

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute

Robust optimization is a field of mathematical optimization theory that deals with optimization problems in which a certain measure of robustness is sought