An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling

Ge, Hongwei; Sun, Liankang; Chen, Xin; Liang, Yanchun

doi:10.1080/18756891.2016.1237190

Cited by 12 publications

(3 citation statements)

References 42 publications

(44 reference statements)

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“…As can be seen from Figure 5 , the error rate of φ ( x ) is shrinking, which shows that the selection time of ϑ ( x ) function of fish swarm model is short. At the same time, the function also shows volatility, which is due to the shift from global selection to local selection [ 23 ].…”

Section: Case Analysis Of Supporting Strategy Choice Of Performing Ar...mentioning

confidence: 99%

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

Hua

Ding

2022

Journal of Environmental and Public Health

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Under the background of public health events, the government needs to adopt reasonable support strategies to help cultural enterprises tide over the crisis. However, the original analytic hierarchy process cannot be comprehensive and accurate analysis, resulting in that the government support strategy cannot play a role. Fish swarm algorithm is a comprehensive intelligent algorithm, which can comprehensively analyze the factors affecting the formulation of supporting strategies for cultural enterprises, and has the advantages of simple operation and strong analysis ability. Under this background, this paper puts forward a fish swarm model; this method is a comprehensive intelligent analysis method, which can help the government find the best support strategy from the perspectives of politics, economy, and society. In order to verify the effectiveness of the fish school model, this paper uses MATLAB software for verification; the results show that, in the support strategy classification, selection accuracy, and selection time, fish school model is superior to the analytic hierarchy process. Therefore, the fish swarm model can help the government to better choose supporting policies and help cultural enterprises tide over the crisis and improve the accuracy of formulating supporting strategies for cultural enterprises.

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Section: Case Analysis Of Supporting Strategy Choice Of Performing Ar...mentioning

confidence: 99%

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

Hua

Ding

2022

Journal of Environmental and Public Health

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“…The algorithm employs the incorporation of SA blended with a set of heuristics to enhance its local search capability. Ge et al [126] proposed an efficient artificial fish swarm model with an estimation of distribution for the FJSP to minimise the makespan. A pre-principle and a postprinciple arranging mechanism in this algorithm are designed to enhance the diversity of the population.…”

Section: Population-based Meta-heuristicsmentioning

confidence: 99%

Review on flexible job shop scheduling

Xie

Gao

Peng

et al. 2019

IET Collaborative Intelligent Manufacturing

125

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Flexible job shop scheduling problem (FJSP) is an NP‐hard combinatorial optimisation problem, which has significant applications in the real world. Due to its complexity and significance, lots of attentions have been paid to tackle this problem. In this study, the existing solution methods for the FJSP in recent literature are classified into exact algorithms, heuristics and meta‐heuristics, which are reviewed comprehensively. Moreover, the real‐world applications of the FJSP are also introduced. Finally, the development trends of the manufacturing industry are analysed, and the future research opportunities of the FJSP are summarised in detail.

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“…It makes an analogy between the search iteration process of looking for the better feasible solution and the process of retaining the fittest or searching behavior of individuals in a population. Swarm intelligence algorithm includes genetic algorithm [10], ant colony algorithm [11], [12], particle swarm optimization [13], [14], artificial fish swarm algorithm [15], artificial bee colony algorithm [16], glowworm swarm optimization algorithm [17] and bat algorithm [18]. As a new kind of evolutionary algorithm, swarm intelligence algorithm has been successfully applied in the field of traffic flow model validation [19], distributed efficient positioning [20], fault diagnosis [21]- [23] and control of vehicle roll behavior performance [24] for its advantages of distribution, self-organization and strong robustness.…”

Section: Introductionmentioning

confidence: 99%

An Improved Fish Swarm Algorithm for Neighborhood Rough Set Reduction and its Application

Zou

Jiang

et al. 2019

IEEE Access

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In this paper, an improved fish swarm algorithm for neighborhood rough set reduction (IFSANRSR) is proposed. In IFSANRSR, by introducing an adaptive function to control the visual and step size of artificial fish, the problem of inconsistent convergence speed existed in a traditional artificial fish swarm algorithm (FSA) is avoided. The movement of artificial fish in the swarming and following behavior is improved to shorten the running time of the algorithm. The searching behavior is improved to enhance the local search ability without changing the global searching ability of the algorithm. By introducing the mechanism of extinction and rebirth, the worst solution is eliminated and rebirth takes place after each iteration, which ensures a high level of the overall fitness. The experimental results on three datasets from the University of California at Irvine (UCI) show that the attributes reduction by using the IFSANRSR has higher reduction rate and classification accuracy in most cases. It could better deal with real-valued data attributes and ensure the optimal attribute reduction set to be found. The experimental result on the decision system of aluminum alloy welded joints show that by using the IFSANRSR, the key influencing factors of fatigue life of aluminum alloy welded joints could be obtained, and the weight of each influencing factor could be calculated quantitatively. INDEX TERMS Fish swarm algorithm, neighborhood rough set, welded joints, fatigue life, influencing factor.

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An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling

Cited by 12 publications

References 42 publications

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

Review on flexible job shop scheduling

An Improved Fish Swarm Algorithm for Neighborhood Rough Set Reduction and its Application

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