An Idea of an Emergent and Multiple-evolutionary Design System for Architecture, Cities and Society Using Multiple Genetic Algorithms
Yuichiro Yamabe, Hiroshi Kawamura and Akinori Tani
This paper presents an idea of emergent and multiple-evolutionary system for designing architecture, cities and society using multiple genetic algorithms. Spontaneous evaluation and synthesis of architecture, cities and society are possible with this system using multiple genetic algorithms. Architecture, cities and society are designed autonomously under emergent and multiple-evolutionary consensus formation if design parameters, formation rules, evaluation factors, and evaluation membership functions are given.
Key words: multiple optimization, genetic algorithms, fuzzy membership function