A new three-dimensional manufacturing service composition method under various structures using improved Flower Pollination Algorithm

2017 ◽  
Vol 12 (5) ◽  
pp. 620-637 ◽  
Author(s):  
Wenyu Zhang ◽  
Yushu Yang ◽  
Shuai Zhang ◽  
Dejian Yu ◽  
Yong Chen
Keyword(s):  
Service Composition ◽  
Three Dimensional ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Composition Method ◽  
Manufacturing Service Composition

scholarly journals Cloud manufacturing service composition and formal verification based on extended process calculus

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878128 ◽  
Author(s):  
Yongxiang Li ◽  
Xifan Yao
Keyword(s):  
Formal Verification ◽  
Service Composition ◽  
Formal Model ◽  
Cloud Manufacturing ◽  
Process Calculus ◽  
Model Interaction ◽  
Verification Method ◽  
Composition Method ◽  
Study Results ◽  
Manufacturing Service Composition

Cloud manufacturing is an emerging service-oriented model to solve existing problems in manufacturing. This study proposes a process calculus–based approach to formally model cloud manufacturing service composition that is composed of description model, interaction scenario model, and composition process formal model, in which the semantics of process calculus to describe the quality of service (QoS) information of service composition is extended, and an intelligent service composition method is put forward based on the extended process calculus. Then, a platform architecture for implementing the proposed approach is addressed. The integrated development environment for the platform is set up with selection of free software tools. Thus, a prototype of the platform is developed. Finally, automated guided vehicle processing service composition and the open integrated manufacturing system service composition are taken as examples to illustrate the application of the proposed service composition method. The main attributes of the formal models for the application cases are verified. Case study results show that the proposed service composition and formal verification method based on the extended process calculus is feasible. Compared with other approaches for service composition, the proposed intelligent service composition method meets the most requirements for service composition.

An Improved Flower Pollination Algorithm for Optimal Unmanned Undersea Vehicle Path Planning Problem

2016 ◽  
Vol 30 (04) ◽  
pp. 1659010 ◽  
Author(s):  
Yongquan Zhou ◽  
Rui Wang
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Optimization Method ◽  
Population Based ◽  
Flower Pollination Algorithm ◽  
Planning Problem ◽  
Flower Pollination ◽  
3D Space ◽  
Undersea Vehicle ◽  
Path Planning Problem

Path planning of Unmanned Undersea Vehicle (UUV) is a rather complicated global optimum problem which is about seeking a superior sailing route considering the different kinds of constrains under complex combat field environment. Flower pollination algorithm (FPA) is a new optimization method motivated by flower pollination behavior. In this paper, a variant of FPA is proposed to solve the UUV path planning problem in two-dimensional (2D) and three-dimensional (3D) space. Optimization strategies of particle swarm optimization are applied to the local search process of IFPA to enhance its search ability. In the progress of iteration of this improved algorithm, a dimension by dimension based update and evaluation strategy on solutions is used. This new approach can accelerate the global convergence speed while preserving the strong robustness of standard FPA. The realization procedure for this improved flower pollination algorithm is also presented. To prove the performance of this proposed method, it is compared with nine population-based algorithms. The experiment result shows that the proposed approach is more effective and feasible in UUV path planning in 2D and 3D space.

scholarly journals A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Wenyu Zhang ◽  
Yushu Yang ◽  
Shuai Zhang ◽  
Dejian Yu ◽  
Yangbing Xu
Keyword(s):  
Multiobjective Optimization ◽  
Solution Space ◽  
Service Selection ◽  
Flower Pollination Algorithm ◽  
Environmental Index ◽  
Flower Pollination ◽  
De Algorithm ◽  
Mutation Operators ◽  
Skyline Operator ◽  
Manufacturing Service Composition

With an increasing number of manufacturing services, the means by which to select and compose these manufacturing services have become a challenging problem. It can be regarded as a multiobjective optimization problem that involves a variety of conflicting quality of service (QoS) attributes. In this study, a multiobjective optimization model of manufacturing service composition is presented that is based on QoS and an environmental index. Next, the skyline operator is applied to reduce the solution space. And then a new method called improved Flower Pollination Algorithm (FPA) is proposed for solving the problem of manufacturing service selection and composition. The improved FPA enhances the performance of basic FPA by combining the latter with crossover and mutation operators of the Differential Evolution (DE) algorithm. Finally, a case study is conducted to compare the proposed method with other evolutionary algorithms, including the Genetic Algorithm, DE, basic FPA, and extended FPA. The experimental results reveal that the proposed method performs best at solving the problem of manufacturing service selection and composition.

scholarly journals Piezoelectric Hysteresis Modeling of Hybrid Driven Three-Dimensional Elliptical Vibration Aided Cutting System Based on an Improved Flower Pollination Algorithm

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1532
Author(s):  
Xifeng Fu ◽  
Hong Gong ◽  
Mingming Lu ◽  
Jiakang Zhou ◽  
Jieqiong Lin ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Model Identification ◽  
Flower Pollination Algorithm ◽  
Model Parameters ◽  
Flower Pollination ◽  
Elliptical Vibration ◽  
Hysteresis Modeling ◽  
Modeling Accuracy ◽  
Cutting System ◽  
Hysteresis Characteristics

Three-dimensional elliptical vibration assisted cutting technology has been widely used in the past few years. The piezoelectric stack drive structure is an important part of the three-dimensional elliptical vibration aided cutting system. Its piezoelectric hysteresis characteristics affects the final output of the elliptical trajectory. Aiming at this problem, a piezoelectric hysteresis modeling method based on a generalized Bouc–Wen model is presented in this paper. An improved flower pollination algorithm (IFPASO) was used to identify Bouc–Wen model parameters. Standard test result shows that IFPASO has better algorithm performance. The model identification effect experiment proved that the Bouc–Wen model obtained by IFPASO identification, the highest modeling accuracy of the three axial subsystems, can reach 98.86%. Therefore, the model can describe the piezoelectric hysteresis characteristics of the three axial subsystems of the 3D-EVC system effectively and has higher modeling accuracy and fitting accuracy.

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