Complex System Optimization Using Biogeography-Based Optimization. (10th December 2013)

• Record Type: Journal Article
• Authors: Du, Dawei; Simon, Dan
• Other Names: Gendelman Oleg V. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2013(2013)
• Publication Date: 2013-12-10
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2013/456232
• Languages: English
• ISSNs: 1024-123X

Abstract

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.