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IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century


IASS Symposium 2016

SESSION: Form Finding & Optimization

Multi-objective Optimization for Free Form Surface Shell Using Swarm Intelligence with Decent Solutions Search

< Table of Contents for Form Finding & Optimization
  • Proceedings Name: IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century
  • ISSN: (Electronic Version) 2518-6582
  • Session: Form Finding & Optimization
  • Pages: 10
  • Title: Multi-objective Optimization for Free Form Surface Shell Using Swarm Intelligence with Decent Solutions Search
  • Author(s): Kodai Nagata, Toshio Honma
  • Keywords: structural morphogenesis, multi-objective optimization, free form surface shell, swarm intelligence decent solutions, diversity of solutions
Abstract
In this paper, a structural morphogenesis for free form surface shells using the particle swarm optimization (PSO) and the artificial bee colony (ABC) which are one of the swarm intelligence (SI) is shown. These procedures categorized to the multipoint search algorithm are important as the computational procedure of acquiring a lot of diversified design variables. The genetic algorithms with immune system (ISGA) has already been proposed as an optimization method obtaining decent solutions. The decent solutions have comparatively high evaluation including Pareto optimal solutions and local Pareto optimal solutions. We have already shown a new scheme for PSO and ABC with searching manipulation of decent solutions using a technique concerning ISGA algorithm. Here, our schemes are applied to the multi-objective optimization problem for free form surface shell structure. From the numerical results, the acquisition of various decent solutions is shown by using our computational procedures.

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