Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization

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• 作者：Sunith Bandaru (16)
  Kalyanmoy Deb (17)
  
  16. Virtual Systems Research Centre ; University of Sk枚vde ; 541 28 ; Sk枚vde ; Sweden
  17. Department of Electrical and Computer Engineering ; Michigan State University ; 428 S. Shaw Lane ; 2120 EB ; East Lansing ; MI ; 48824 ; USA
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9018
• 期：1
• 页码：79-93
• 全文大小：447 KB
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  5. Deb, K, Bandaru, S, Tutum, CC Temporal evolution of design principles in engineering systems: Analogies with human evolution. In: Coello, CAC, Cutello, V, Deb, K, Forrest, S, Nicosia, G, Pavone, M eds. (2012) Parallel Problem Solving from Nature - PPSN XII. Springer, Heidelberg, pp. 1-10 CrossRef
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• 作者单位：Evolutionary Multi-Criterion Optimization
• 丛书名：978-3-319-15933-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Multi-objective optimization yields multiple solutions each of which is no better or worse than the others when the objectives are conflicting. These solutions lie on the Pareto-optimal front which is a lower-dimensional slice of the objective space. Together, the solutions may possess special properties that make them optimal over other feasible solutions. Innovization is the process of extracting such special properties (or design principles) from a trade-off dataset in the form of mathematical relationships between the variables and objective functions. In this paper, we deal with a closely related concept called temporal innovization. While innovization concerns the design principles obtained from the trade-off front, temporal innovization refers to the evolution of these design principles during the optimization process. Our study indicates that not only do different design principles evolve at different rates, but that they start evolving at different times. We illustrate temporal innovization using several examples.