A Framework for Multi-objective, Biogeography Based Optimization of Complex System Families
Jeffrey A. Abell, Dawei Du · 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference · 2010
Multi-objectives and multi-constraints problems are a big challenge in the industry, and they are also difficult to be conquered by traditional methods. In this situation, heuristic algorithms become an executable choice when facing this kind of problems. In this paper, we introduce the complex system which is more complicated than normal multi-objectives and multi-constraints problems. For each family of systems, the objective functions and constraints are normally shared among families. Since keeping the certain number of objective functions and constraints for the entire population is no longer a realistic situation in today’s industry, it is time to find a new algorithm to deal with complex system. Biogeography-based optimization (BBO) is a newly developed heuristic algorithm, and with the promising and consistent performance in [1], [2] and [3], it becomes a strong competitor in this area. In this paper, BBO will be applied to the complex system families for the system optimization.