Home » conference programme » Intelligent Design Systems » Evolutionary Neuro-Fuzzy Modeling in Parametric Design » 2-Presentation Outline » 3-Design Issues » 4-State of the art » 5-Directives for The Current Research Work » 6-Design Entities and Associative Relationships (1) » 7-Design Entities and Associative Relationships (2) » 8-Architecture of The Current Approach » 9-Solution Search with GAs » 10-Simplification of the Design Problem

11-Results for the Example Case

Results for the Example Case

  GA run for initial problem

 
Solution search with Genetic Algorithm for the initial problem

Surfview for DP convspeed
 
 
Showcase of the fuzzy associative relationship among the Performance Variable "convspeed" and the three variable primary DPs
 
 
GA run for simplified problem
Solution search with Genetic Algorithm for the simplified problem

  • The genetic optimization was deployed in the example case of oscillating conveyors for 30 generations.

  • After 10 runs of GA, the average time needed for extracting the optimum solution was 94.2655 seconds.

  • The elite solutions during the genetic optimization were recorded in order to build a simplified flat fuzzy structure.

  • The re-design using the simplified structure, after 10 runs of GA of 30 generations each, resulted to a mean time for optimum solution extraction equal to 21.6540 seconds.

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    ‹ 10-Simplification of the Design Problemup12-Conclusions ›

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