Towards Interactive Evolutionary Design Systems

Author(s):  
Ian C. Parmee
Author(s):  
Hod Lipson ◽  
Jordan B. Pollack ◽  
Nam P. Suh

Abstract Evolutionary design systems apply principles inspired from biological evolution to automate machine design. These systems have been shown to generate simple designs for simple tasks — but their practical ability to scale up to higher complexities remains questioned. One of the keys to accomplishing higher-level evolutionary design is the ability of the process to identify and reuse knowledge discovered at lower levels, thus scaling its search capacity. One way to capture this knowledge is in the form of reusable building blocks — modules. In this paper we define modularity and discuss several approaches to promoting modularity in evolutionary design systems. In particular, we propose a new mechanism that can enhance modularization. This mechanism is based on the observation that designs that exhibit modularity have higher adaptability and consequently have better survival rates under changing requirements. Contrary to other techniques, this is a weak (indirect) formulation that docs not require representation of partial solutions or definition of a genotype from which a design is developed. We demonstrate this principle on an abstract general design problem on which modularity can be statistically quantified.


2009 ◽  
pp. 376-392
Author(s):  
I.C. Parmee ◽  
J. R. Abraham ◽  
A. Machwe

The chapter introduces the concept of user-centric evolutionary design and decision-support systems, and positions them in terms of interactive evolutionary computing. Current research results provide two examples that illustrate differing degrees of user interaction in terms of subjective criteria evaluation; the extraction, processing, and presentation of high-quality information; and the associated improvement of machine-based problem representation. The first example relates to the inclusion of subjective aesthetic criteria to complement quantitative evaluation in the conceptual design of bridge structures. The second relates to the succinct graphical presentation of complex relationships between variable and objective space, and the manner in which this can support a better understanding of a problem domain. This improved understanding can contribute to the iterative improvement of initial machine-based representations. Both examples complement and add to earlier research relating to interactive evolutionary design systems.


Author(s):  
سعيد حسن ◽  
علا محمد سمير ◽  
هالة محسن محمود السيد المحمودي

Author(s):  
I. C. Parmee

The chapter introduces the concept of user-centric evolutionary design and decision-support systems, and positions them in terms of interactive evolutionary computing. Current research results provide two examples that illustrate differing degrees of user interaction in terms of subjective criteria evaluation; the extraction, processing, and presentation of high-quality information; and the associated improvement of machine-based problem representation. The first example relates to the inclusion of subjective aesthetic criteria to complement quantitative evaluation in the conceptual design of bridge structures. The second relates to the succinct graphical presentation of complex relationships between variable and objective space, and the manner in which this can support a better understanding of a problem domain. This improved understanding can contribute to the iterative improvement of initial machine-based representations. Both examples complement and add to earlier research relating to interactive evolutionary design systems.


Author(s):  
I. C. Parmee ◽  
J. Abraham ◽  
M. Shackelford ◽  
O. F. Rana ◽  
A. Shaikhali

PCI Journal ◽  
1986 ◽  
Vol 31 (2) ◽  
pp. 40-94 ◽  
Author(s):  
Mrinmay Biswas

1995 ◽  
Author(s):  
CORPS OF ENGINEERS WASHINGTON DC
Keyword(s):  

2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Roterman Irena ◽  
Konieczny Leszek

AbstractThe presented work discusses some evolutionary phenomena underlining the complexity of organism creation and surprisingly the short evolutionary time of this process in particular. Uncommonness of this process ensued from the necessary simultaneous combining of highly complicated biological mechanisms, of which some were generated independently before the direct evolutionary demand. This in conclusion points to still not fully understood biological program ensuring superiority of the permanent evolutionary progress over effects of purely random mutational changes as the driving mechanism in evolution.


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