Call for Papers: Optimal and Specialized Design of Experiments

Submission deadline: Monday, 30 June 2025

Optimal Design of Experiments (DoE) construction strategies allow experimenters to tailor their designs to the specific objectives of their experiments. Historically, classical designs were available for particular design regions, experiment sizes and balanced common design criteria. With the advent of improved search algorithms and construction methods, experimenters have additional choices for selecting a design to meet their needs. In this special issue, we invite contributions that showcase the flexibility of DoE strategies across a wide variety of experimental scenarios, including pilot studies, screening, modeling, optimization and confirmation experiments.

We invite submissions of original research papers, review articles, and case studies that showcase novel approaches, methodologies, and practical implementations of DoE methods.

Contributions to this special issue may include the following areas, among many others:

• Development of new optimal DoE methods
• New optimality criteria for specialized cases
• Case studies illustrating successful implementation of specialized designs
• Algorithmic improvements to existing optimal design construction approaches

Guest Editors:

Douglas Montgomery
Arizona State University
United States

Christine M. Anderson-Cook
Los Alamos National Laboratory
United States

Keywords: analysis methods; applications; design construction; design evaluation; Design optimality; screening experiments

Submission Guidelines/Instructions:

Please refer to the Author Guidelines to prepare your manuscript. When submitting your manuscript, please answer the question “Is this submission for a special issue?” by selecting the special issue title from the drop-down list.