Bio-Inspired Clustering of Complex Products Structure based on DSM
نویسندگان
چکیده
Clustering plays an important role in the decomposition of complex products structure. Different clustering algorithms may achieve different effects of the decomposition. This paper aims to proposes a bio-inspired genetic algorithm that is implemented based on its reliable fitness function and design structure matrix (DSM) for clustering analysis of complex products. This new bio-inspired genetic algorithm captures the features of DSM, which is base on the biological evolution theory. Examples of these products include motorcycle engines that are presented for clustering. The five cluster alternatives are obtained from the regular clustering algorithm and the bio-inspired genetic algorithm, while the best cluster alternative comes from the bio-inspired genetic algorithm. The results show that this algorithm is well adaptable, especially when the product elements have complicated and asymmetric connections. Keywords—Bio-inspired computation; genetic algorithm (GA); reliable fitness function; DSM; complex products; clustering
منابع مشابه
Hybrid Bio-Inspired Clustering Algorithm for Energy Efficient Wireless Sensor Networks
In order to achieve the sensing, communication and processing tasks of Wireless Sensor Networks, an energy-efficient routing protocol is required to manage the dissipated energy of the network and to minimalize the traffic and the overhead during the data transmission stages. Clustering is the most common technique to balance energy consumption amongst all sensor nodes throughout the network. I...
متن کاملDouble Duty: Genetic Algorithms for Organizational Design and Genetic Algorithms Inspired by Organizational Theory
Modularity is widely used in system analysis and design such as complex engineering products and their organization. Also, modularity is the key to solve optimization problems efficiently via problem decomposition. We first discover modularity in a system, and then leverage this knowledge to improve the performance of the system. In this chapter, we tackle both problems with the alliance of org...
متن کاملHigh-Dimensional Unsupervised Active Learning Method
In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed. The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality. High-dimensional unsupervised active learning method (HUALM) is a clustering algorithm which blurs the da...
متن کاملAn information theoretic method for developing modular architectures using genetic algorithms
Designing modular products can result in many benefits to both manufacturers and consumers. The development of modular products requires the identification of highly interactive groups of elements and arranging (i.e., clustering) them into modules. However, no rigorous clustering technique can be found in engineering design literature. This paper uses the design structure matrix (DSM) to visual...
متن کاملMaximum Maintainability of Complex Systems via Modulation Based on DSM and Module Layout.Case Study:Laser Range Finder
The present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. For this purpose, four objective functions have been considered simultaneously: I) maximizing the level of accordance between system design and optimum modularity design,II) maximizing the level of accessibility and the maintenance space required,III...
متن کامل