Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Supporting creative design in a visual evolutionary computing environment
Advances in Engineering Software
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Product design is a complex decision-making process requiring intense interaction between designers and the designed product. Consequently, the design process is significantly different from a pure mathematical optimization. This paper presents a decision support platform for interactive design that integrates mathematical optimization with human interaction based on VE-Suite. Current efforts are geared toward seamlessly linking high fidelity models, numerical optimization and human interaction to improve efficiency and quality in system performance. The designer's interaction causes the optimization process to dynamically change by adding, deleting, and modifying objectives, constraints, and other parameters that govern the process. As an illustration, a coal pipe design case is used to demonstrate the new platform's capabilities. The case has demonstrated that adding user interaction into the design process has the potential to improve design efficiency and quality.