Novel collaborative optimization framework with a negotiation model for satellite system design. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Dong, Yunfeng; Wei, Xiaona; Liu, Fengrui
• Is Part Of: Engineering optimization. Volume 50:Issue 8(2018)
• Page Start: 1395
• Page End: 1414
• Publication Date: 2018-08-03
• Subjects: Multi-disciplinary optimization -- collaborative optimization -- multi-agent negotiation -- satellite system design; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1400544
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: This article proposes a novel collaborative optimization (NCO) framework that uses a persuasive multi-agent negotiation method for satellite system design. Satellite system design is a typical multi-disciplinary design optimization problem. The traditional collaborative optimization (CO) is a competitive method but has the disadvantage of inefficient convergence caused by the interdisciplinary compatibility constraints in system-level optimization. By introducing the multi-agent negotiation method, an NCO framework is proposed, in which the system-level and subsystem-level variable negotiations replace the system-level compatibility constraints in traditional CO. The negotiation introduces a modification for candidate values that do not satisfy the compatibility constraints, ensures that an alternative compatible candidate will be obtained and has high convergence efficiency. Two numerical benchmark functions and a multi-disciplinary satellite system design are used to analyse the performance of the proposed NCO. The simulation results show that NCO can efficiently ensure parameter interdisciplinary matching and advanced convergence performance.