Document Type
Article
Publication Date
2013
Publication Title
Mathematical Problems in Engineering
Abstract
Complex systems are frequently found in modern industry. But with their multisubsystems, multiobjectives, and multiconstraints, the optimization of complex systems is extremely hard. In this paper, a new algorithm adapted from biogeography-based optimization (BBO) is introduced for complex system optimization. BBO/Complex is the combination of BBO with a multiobjective ranking system, an innovative migration approach, and effective diversity control. Based on comparisons with three complex system optimization algorithms (multidisciplinary feasible (MDF), individual discipline feasible (IDF), and collaborative optimization (CO)) on four real-world benchmark problems, BBO/Complex demonstrates competitive performance. BBO/Complex provides the best performance in three of the benchmark problems and the second best in the fourth problem.
Repository Citation
Du, Dawei and Simon, Dan, "Complex System Optimization using Biogeography-Based Optimization" (2013). Electrical and Computer Engineering Faculty Publications. 277.
https://engagedscholarship.csuohio.edu/enece_facpub/277
DOI
10.1155/2013/456232
Version
Publisher's PDF
