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Article
Publication date: 4 April 2016

Nianyin Zeng, Hong Zhang, Yanping Chen, Binqiang Chen and Yurong Liu

This paper aims to present a novel particle swarm optimization (PSO) based on a non-homogeneous Markov chain and differential evolution (DE) for path planning of…

Abstract

Purpose

This paper aims to present a novel particle swarm optimization (PSO) based on a non-homogeneous Markov chain and differential evolution (DE) for path planning of intelligent robot when having obstacles in the environment.

Design/methodology/approach

The three-dimensional path surface of the intelligent robot is decomposed into a two-dimensional plane and the height information in z axis. Then, the grid method is exploited for the environment modeling problem. After that, a recently proposed switching local evolutionary PSO (SLEPSO) based on non-homogeneous Markov chain and DE is analyzed for the path planning problem. The velocity updating equation of the presented SLEPSO algorithm jumps from one mode to another based on the non-homogeneous Markov chain, which can overcome the contradiction between local and global search. In addition, DE mutation and crossover operations can enhance the capability of finding a better global best particle in the PSO method.

Findings

Finally, the SLEPSO algorithm is successfully applied to the path planning in two different environments. Comparing with some well-known PSO algorithms, the experiment results show the feasibility and effectiveness of the presented method.

Originality/value

Therefore, this can provide a new method for the area of path planning of intelligent robot.

Details

Assembly Automation, vol. 36 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 7 August 2017

Du Lin, Bo Shen, Yurong Liu, Fuad E. Alsaadi and Ahmed Alsaedi

The purpose of this paper is to improve the performance of the genetic algorithm-based compliant robot path planning (GACRPP) in complex dynamic environment by proposing…

Abstract

Purpose

The purpose of this paper is to improve the performance of the genetic algorithm-based compliant robot path planning (GACRPP) in complex dynamic environment by proposing an improved bidirectional rapidly exploring random tree (Bi-RRT)-based population initialization method.

Design/methodology/approach

To achieve GACRPP in complex dynamic environment with high performance, an improved Bi-RRT-based population initialization method is proposed. First, the grid model is adopted to preprocess the working space of mobile robot. Second, an improved Bi-RRT is proposed to create multi-cluster connections between the starting point and the goal point. Third, the backtracking method is used to generate the initial population based on the multi-cluster connections generated by the improved Bi-RRT. Subsequently, some comparative experiments are implemented where the performances of the improved Bi-RRT-based population initialization method are compared with other population initialization methods, and the comparison results of the improved genetic algorithm (IGA) combining with the different population initialization methods are shown. Finally, the optimal path is further smoothed with the help of the technique of quadratic B-spline curves.

Findings

It is shown in the experiment results that the improved Bi-RRT-based population initialization method is capable of deriving a more diversified initial population with less execution time and the IGA combining with the proposed population initialization method outperforms the one with other population initialization methods in terms of the length of optimal path and the execution time.

Originality/value

In this paper, the Bi-RRT is introduced as a population initialization method into the GACRPP problem. An improved Bi-RRT is proposed for the purpose of increasing the diversity of initial population. To characterize the diversity of initial population, a new notion of breadth is defined in terms of Hausdorff distance between different paths.

Details

Assembly Automation, vol. 37 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 4 April 2016

Yang Lu, Shujuan Yi, Yurong Liu and Yuling Ji

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

Abstract

Purpose

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

Design/methodology/approach

At first, the convolution kernel with different scales can be obtained by using the sparse auto encoder training algorithm; the parameter of the hidden layer is a series of convolutional kernel, and the authors use these kernels to extract first-layer features. Then, the authors get the second-layer features through the max-pooling operators, which improve the invariance of the features. Finally, the authors use fully connected layers of neural networks to accomplish the path planning task.

Findings

The NAO biomimetic robot respond quickly and correctly to the dynamic environment. The simulation experiments show that the deep neural network outperforms in dynamic and static environment than the conventional method.

Originality/value

A new method of deep learning based biomimetic robot path planning is proposed. The authors designed a multi-layer CNN which includes max-pooling layer and convolutional kernel. Then, the first and second layers features can be extracted by these kernels. Finally, the authors use the sparse auto encoder training algorithm to train the CNN so as to accomplish the path planning task of NAO robot.

Details

Assembly Automation, vol. 36 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 17 June 2020

Davood Darvishi, Sifeng Liu and Jeffrey Yi-Lin Forrest

The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.

Abstract

Purpose

The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.

Design/methodology/approach

After presenting the concepts of grey systems and grey numbers, this paper surveys existing approaches for solving grey linear programming problems and applications. Also, methods and approaches for solving grey linear programming are classified, and its advantages and disadvantages are expressed.

Findings

The progress of grey programming has been expressed from past to present. The main methods for solving the grey linear programming problem can be categorized as Best-Worst model, Confidence degree, Whitening parameters, Prediction model, Positioned solution, Genetic algorithm, Covered solution, Multi-objective, Simplex and dual theory methods. This survey investigates the developments of various solving grey programming methods and its applications.

Originality/value

Different methods for solving grey linear programming problems are presented, where each of them has disadvantages and advantages in providing results of grey linear programming problems. This study attempted to review papers published during 35 years (1985–2020) about grey linear programming solving and applications. The review also helps clarify the important advantages, disadvantages and distinctions between different approaches and algorithms such as weakness of solving linear programming with grey numbers in constraints, inappropriate results with the lower bound is greater than upper bound, out of feasible region solutions and so on.

Details

Grey Systems: Theory and Application, vol. 11 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

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Article
Publication date: 2 July 2018

Yurong Wang and James Warn

The purpose of this paper is to examine how Chinese immigrant businesses in Australia were able to shift from low return start-up businesses and move to more competitive…

Abstract

Purpose

The purpose of this paper is to examine how Chinese immigrant businesses in Australia were able to shift from low return start-up businesses and move to more competitive business models targeting mainstream clientele. The research aims to identify the factors enabling a break-out strategy for these entrepreneurs and whether a horizontal or vertical break-out was achieved.

Design/methodology/approach

A qualitative research method with in-depth interviews is employed. Interviews were conducted with 55 Chinese immigrant business owners in Sydney and Canberra.

Findings

The analysis found that a break-out strategy depended on a range of business activities, including innovation, marketing, networking and personnel strategies. Importantly, the current research found that these resources have varying degrees of importance in the different stages of the transition to the new business model. Accumulating sufficient financial capital was a fundamental enabler for a break-out strategy, followed by the capacity to learn and benefit from the experience of social networks.

Research limitations/implications

The current research highlights the importance of financial capital and capacity to benefit from social networks as fundamental factors in enabling a break-out strategy. The benefit of the qualitative approach in obtaining rich data needs to be offset by potential limitations on generalisability. Future research could incorporate comparison between different size businesses as well as analysing factors underpinning a failure to successfully implement a break-out.

Practical implications

The findings indicate that business support groups and policymakers could review access to financial capital for entrepreneurs seeking break-outs, consider improving opportunities for developing capacity to utilise heterogeneous social networks, and consider pathways for improving skills acquisition amongst immigrant entrepreneurs.

Originality/value

This paper contributes to the research literature on break-out strategies used by immigrant entrepreneurs by analysing, in detail, the transition steps undertaken by ethnic Chinese entrepreneurs in the shift to more competitive business models.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 25 no. 2
Type: Research Article
ISSN: 1355-2554

Keywords

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Article
Publication date: 6 July 2021

Kirti Nayal, Rakesh Raut, Ana Beatriz Lopes de Sousa Jabbour, Balkrishna Eknath Narkhede and Vidyadhar V. Gedam

This article sheds light on the missing links concerning the study of using integrated enabling technologies toward sustainable and circular agriculture supply chains by…

Abstract

Purpose

This article sheds light on the missing links concerning the study of using integrated enabling technologies toward sustainable and circular agriculture supply chains by examining the available literature and proposing future research possibilities.

Design/methodology/approach

The relevant literature was researched through online databases such as Scopus, Web of Science, Academic Search Premier, Emerald, IEEE Xplore, Science Direct, World Scientific Net and Springer-Link Journals, covering a period from 1999 to 2020. A systematic literature review based on 75 papers analyzed the integration of the concepts of enabling technologies, sustainability, circular economy and supply chain performance in agriculture supply chains.

Findings

It was identified that enabling technologies and agriculture supply chains alone have been explored further than integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains. Enabling technologies and agriculture supply chains' main findings are: enabling technologies have been studied to improve food safety, food quality and traceability in agriculture supply chains. The main results regarding integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains are: Internet of Things and information communication technology play an important role in addressing food security, traceability and food quality, which help achieve sustainable development goals.

Originality/value

This review study provides 13 research questions to underpin future trends regarding integrated technologies' application in agriculture supply chains for circular and sustainable growth.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

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