Decomposition-based design optimization method using genetic co-evolution

Decomposition-based design optimization method using genetic co-evolution

0.00 Avg rating0 Votes
Article ID: iaor20051524
Country: United Kingdom
Volume: 36
Issue: 3
Start Page Number: 361
End Page Number: 378
Publication Date: Jun 2004
Journal: Engineering Optimization
Authors: ,
Keywords: design, engineering
Abstract:

The paper examines new strategies for the implementation of genetic algorithms in a decomposition-based approach for design. In this approach, the design problem is decomposed into smaller-sized sub-problems, the solutions for which are obtained through co-evolution. The emphasis resides in evaluating methods for exchanging design information relevant to coordinating solutions of temporarily decoupled sub-problems. Methods based on modification of genetic makeup through experiential inheritance (exposure to another species), and through inter-species migration are investigated in this work. Different forms of design problem coupling are investigated, ranging from coupling through constraints only, to coupled objective and constraint functions. The proposed strategies are validated through implementation in representative algebraic and structural design problems.

Reviews

Required fields are marked *. Your email address will not be published.