scholarly journals On localization of some star selection principle

Author(s):  
Debraj CHANDRA ◽  
Nur ALAM
Keyword(s):  
2021 ◽  
pp. 1-11
Author(s):  
Youcheng Han ◽  
Caizhi Zhou ◽  
Weizhong Guo

Abstract This paper presents the reconfigurable legged mobile lander (ReLML) with its modes from adjusting, landing, to roving. Based on the invented metamorphic variable-axis revolute hinge, the actuated link has three alternative phases of rotating around either of two orthogonal topological axes or locking itself to the base as a rigid body. This property enables the ReLML to switch among three modes and within two driving states (as the adjusting and roving modes are active mechanisms driven by motors, while the landing truss is regarded as a passive mechanism driven by the touchdown impact force exerted on footpad). The unified differential kinematics for the ReLML is established by the screw-based Jacobian modeling, unifying both active and passive operation phases throughout all modes. Afterward, the distributions of workspaces and singularity loci in three modes are discussed for the multi-solution sake, and the selection principle of the practicable solution pattern is proposed to obtain the actual workspace, singularity loci, and configurations. The results stemming from the Jacobian-matrix-based method and the Grassmann-geometry-based method give mutual authentication and match well. Finally, as prospects for promising applications, four bifurcated evolution routes and configuration transitions are figured out and compared.


10.2741/3426 ◽  
2009 ◽  
Vol Volume (14) ◽  
pp. 2959 ◽  
Author(s):  
David, L. Abel

2005 ◽  
Vol 88 (1) ◽  
pp. 101-107 ◽  
Author(s):  
Ondrej Rydval ◽  
Andreas Ortmann

Author(s):  
Shangce Gao ◽  
Zheng Tang ◽  
Hiroki Tamura

Artificial Immune System as a new branch in computational intelligence is the distributed computational technique inspired by immunological principles. In particular, the Clonal Selection Algorithm (CS), which tries to imitate the mechanisms in the clonal selection principle proposed by Burent to better understand its natural processes and simulate its dynamical behavior in the presence of antigens, has received a rapid increasing interest. However, the description about the mechanisms in the algorithm is rarely seen in the literature and the related operators in the algorithm are still inefficient. In addition, the comparison with other algorithms (especially the genetic algorithms) lacks of analysis. In this chapter, several new clonal selection principles and operators are introduced, aiming not only at a better understanding of the immune system, but also at solving engineering problems more efficiently. The efficiency of the proposed algorithm is verified by applying it to the famous traveling salesman problems (TSP).


2019 ◽  
Vol 102 (11) ◽  
pp. 6427-6432 ◽  
Author(s):  
Qi‐Qi Zhu ◽  
Yan Zhang ◽  
Wei‐Ming Guo ◽  
Shi‐Kuan Sun ◽  
Hua‐Tay Lin

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