Optimum design using search agents

Tomoyuki Miyashita*, Hiroshi Yamakawa

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


Many optimization methods and practical softwares have been developing for many years and most of them are very effective, especially to solve practical problems. But, non-linearity of objective functions and constraint functions, which have frequently seen in practical problems, has caused a difficulty in optimization. This difficulty mainly lies in the existence of several local optimum solutions. In this study, we have proposed a new global optimization methodology that provides an information exchange mechanism in the nearest neighbor method. We have developed a simple software system, which treated each design point in optimization as an agent. Many agents can search the optima simultaneously exchanging the their information. We have defined two roles of the agents. Local search agents have roles on searching local optima by such an existing method as the steepest decent method and so on. Stochastic search agents investigate the design space by making use of the information from other agents. Through simple and several structural optimization problems, we have confirmed the advantages of the method.

Original languageEnglish
Number of pages8
Publication statusPublished - 2001
Event2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States
Duration: 2001 Sept 92001 Sept 12


Conference2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
Country/TerritoryUnited States
CityPittsburgh, PA


  • Artificial Intelligence
  • Computer Aided Design
  • Multi Agents System
  • Optimum Design
  • Structural Analysis

ASJC Scopus subject areas

  • Modelling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Optimum design using search agents'. Together they form a unique fingerprint.

Cite this