Evolutionary and Adaptive Computing in Engineering Design: The Integration of Adaptive Search Exploration and Optimization with Engineering Design Pro
Design, Analogy, and Creativity
IEEE Expert: Intelligent Systems and Their Applications
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Selected Papers from AISB Workshop on Evolutionary Computing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Multiobjective Satisfaction within an Interactive Evolutionary Design Environment
Evolutionary Computation
Initial Modifications to XCS for Use in Interactive Evolutionary Design
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
| Hi-index | 0.00 |
Ill-definition, uncertainty and multiple objectives are primary characteristics of real-world decision-making processes. During the initial stages of such processes little knowledge appertaining to the problem at hand may be available. A primary task relates to improving problem definition in terms of variables, constraint and both quantitative and qualitative objectives. The problem space develops with information gained in a dynamical process where optimisation plays a secondary role following the establishment of a well-defined problem domain. The paper speculates upon the role of evolutionary computing, complementary computational intelligence techniques and interactive systems that support such problem definition where multiobjective satisfaction plays a major role.