Teng Hong-fei

Knowledge Fusion Design Method: Satellite Module Layout

Abstract As a complex engineering problem, the satellite module layout design (SMLD) is difficult to resolve by using conventional computation-based approaches. The challenges stem from three aspects: computational complexity, engineering complexity, and engineering practicability. Engineers often finish successful satellite designs by way of their plenty of experience and wisdom, lessons learnt from the past practices, as well as the assistance of the advanced computational techniques. Enlightened by the ripe patterns, this article puts forward a knowledge fusion approach, which fuses online human knowledge, prior knowledge, and computational knowledge by using evolutionary computation to fully explore the advantages of human and computers. This article highlights the way to represent aforementioned three types of design knowledge, the model to describe problem and the method to fuse, and the roles human plays. The numerical experiments have demonstrated the feasibility of the proposed approach.

Layout design of a satellite module using a human-guided genetic algorithm

The satellite module layout problem belongs to the constrained multi-objective optimization problem. Taking the layout design of an international commercial communication satellite as a background, a human-guided genetic algorithm for the satellite module layout problem is proposed, in which a new selection strategy is adopted based on the Debs constrained-domination principle and the engineering requirements, then in order to combine the respective strengths of human and computers, a heuristic artificial individuals adding rule is proposed to add the artificial individuals into population to operate with the algorithm individuals to guide the whole optimization process. The experimental results show that the human-guided genetic algorithm is superior to the GALib on computational precision, efficiency and stability

Emergency design framework: a satellite preliminary scheme design

The emergency design of mechanical products or equipment (such as a satellite) is significant for disaster relief when the natural disasters occur. Most of us are unaware about the little information that is available in literature about emergency designs. Against the background of the preliminary scheme design of satellite payloads, emergency design was studied in the case of natural disasters. We presented some definitions about emergency design. Then, we proposed the basic ideas of how to realize the emergency design. These ideas were inspired by two aspects: 1) the evolutionary algorithms, the agent, the human-computer cooperation, and the collaborative design theory; 2) the emergency behaviors in ant colonies. Following the ideas, first we constructed the human-computer cooperation agents (hereinafter called the HC-Agents) that combine the human intelligence with evolutionary algorithms. These HC-Agents had specific features like the division of labor in the ant colony. Second, we developed the multiagents cooperative design system on the basis of a hybrid P2P (peer-to-peer) model. Therefore, the emergency design system has shown some capabilities, such as anti-interference, adaptation, and rapid response.