Pareto analysis of evolutionary and learning systems
作者:Yaochu Jin, Robin Gruna, Bernhard Sendhoff
摘要
This paper attempts to argue that most adaptive systems, such as evolutionary or learning systems, have inherently multiple objectives to deal with. Very often, there is no single solution that can optimize all the objectives. In this case, the concept of Pareto optimality is key to analyzing these systems.
论文关键词:Pareto analysis, multi-objective optimization, evolution, evolvability, robustness, learning, accuracy, complexity
论文评审过程:
论文官网地址:https://doi.org/10.1007/s11704-009-0004-8