A niching cross-entropy method for multimodal satellite layout optimization design

Sun, Jialiang; Chen, Xianqi; Zhang, Jun; Yao, Wen

doi:10.1007/s40747-021-00302-3

Cited by 11 publications

(3 citation statements)

References 33 publications

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“…In the following, most of the research that has been published in the field of satellite equipment arrangement will be introduced. [38] equally allocated Improved Niching Method (developed GA for cylindrical components) 2-14 Cylinder…”

Section: Literature Reviewmentioning

confidence: 99%

A Robust Flexible Optimization Model for 3D-Layout of Interior Equipment in a Multi-Floor Satellite

Hekmatfar,

Aliha,

Pishvaee

et al. 2023

Mathematics

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Defanging equipment layout in multi-floor satellites consists of two primary tasks: (i) allocating the equipment to the satellite’s layers and (ii) placing the equipment in each layer individually. In reviewing the previous literature in this field, firstly, the issue of assigning equipment to layers is observed in a few articles, and regarding the layout, the non-overlapping constraint has always been a challenge, particularly for components that do not have a circular cross-section. In addition to presenting a heuristic method for allocating equipment to different layers of the satellite, this article presents a robust flexible programming model (RFPM) for the placement of equipment at different layers, taking into account the inherent flexibility of the equipment in terms of placement and the subject of uncertainty. This model is based on the existing uncertainty between the distances between pieces of cuboid equipment, which has not been addressed in any of the previous research, and by comparing its outputs with cases from past studies, we demonstrate a significantly higher efficiency related to placing the equipment and meeting the limit of non-overlapping constraints between the equipment. Finally, it would be possible to reduce the design time in the conceptual and preparatory stages, as well as the satellite’s overall size, while still satisfying other constraints such as stability and thermal limitations, moments of inertia and center of gravity.

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Section: Literature Reviewmentioning

confidence: 99%

A Robust Flexible Optimization Model for 3D-Layout of Interior Equipment in a Multi-Floor Satellite

Hekmatfar,

Aliha,

Pishvaee

et al. 2023

Mathematics

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“…Chen et al [11] proposed a novel satellite layout optimization design approach based on the phi-function, which provides a simple, effective and simultaneously accurate way to handle the geometry constraints with an explicit mathematical expression. Sun et al [12] studied a multimodal optimization method and proposed an improved niching-based cross-entropy method to find multiple solutions simultaneously for more design diversity. These methods can effectively solve the geometric non-overlap problems.…”

Section: Introductionmentioning

confidence: 99%

A Spacecraft Equipment Layout Optimization Method for Diverse and Competitive Design

Zhao¹,

Du²,

Huo³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The spacecra equipment layout optimization design (SELOD) problems with complicated performance constraints and diversity are studied in this paper. The previous literature uses the gradient-based algorithm to obtain optimized non-overlap layout schemes from randomly initialized cases e ectively. However, these local optimal solutions are too di cult to jump out of their current relative geometry relationships, signi cantly limiting their further improvement in performance indicators. Therefore, considering the geometric diversity of layout schemes is put forward to alleviate this limitation. First, similarity measures, including modi ed cosine similarity and gaussian kernel function similarity, are introduced into the layout optimization process. Then the optimization produces a set of feasible layout candidates with the most remarkable di erence in geometric distribution and the most representative schemes are sampled. Finally, these feasible geometric solutions are used as initial solutions to optimize the physical performance indicators of the spacecra , and diversi ed layout schemes of spacecra equipment are generated for the engineering practice. The validity and e ectiveness of the proposed methodology are demonstrated by two SELOD applications.

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“…To seek and locate multiple optimal solutions, niche technology [24,31] is used in the multi-modal optimization problems. Niche technology is to divide the population of each generation into several sub-populations, the crossover and mutation in the sub-populations or among different subpopulations produce a new generation of populations.…”

Section: Introductionmentioning

confidence: 99%

Differential evolution algorithm with population knowledge fusion strategy for image registration

Sun

Yang

et al. 2021

Complex Intell. Syst.

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Image registration is a challenging NP-hard problem within the computer vision field. The differential evolutionary algorithm is a simple and efficient method to find the best among all the possible common parts of images. To improve the efficiency and accuracy of the registration, a knowledge-fusion-based differential evolution algorithm is proposed, which combines segmentation, gradient descent method, and hybrid selection strategy to enhance the exploration ability in the early stage and the exploitation ability in the later stage. The proposed algorithms have been implemented and tested with CEC2013 benchmark and real image data. The experimental results show that the proposed algorithm is superior to the existing algorithms in terms of solution quality, convergence speed, and solution success rate.

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A niching cross-entropy method for multimodal satellite layout optimization design

Cited by 11 publications

References 33 publications

A Robust Flexible Optimization Model for 3D-Layout of Interior Equipment in a Multi-Floor Satellite

A Robust Flexible Optimization Model for 3D-Layout of Interior Equipment in a Multi-Floor Satellite

A Spacecraft Equipment Layout Optimization Method for Diverse and Competitive Design

Differential evolution algorithm with population knowledge fusion strategy for image registration

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