Marine predators' algorithm: Application in applied mechanics

Milenković, Nikola; Krstić, T Mladen

doi:10.5937/tehnika2105613m

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Marine Predators Algorithm (MPA) [20] is a novel metaheuristic optimization algorithm inspired by the theory of survival of the fittest in the ocean, where a marine predator chooses the optimal foraging strategy by choosing between Lévy wandering or Brownian wandering, as shown in Figure 2. The algorithm finds the optimal solution by simulating the foraging behavior of marine predators.…”

Section: Marine Predator Algorithmmentioning

confidence: 99%

Application of Decision Tree Classification Algorithm in Quality Assessment of Distance Learning in Colleges

Nan,

Li,

Zhang

et al. 2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: The quality assessment technology of distance education in colleges and universities, as the critical technology for identifying the quality of distance education in colleges and universities, is conducive to the improvement of the quality of distance teaching and the progress of the existing means and methods of distance education, which makes the means of distance teaching in colleges and universities rich in science. OBJECTIVES: Aiming at the evaluation methods of higher education institutions, there are problems such as insufficient objectivity and comprehensiveness of the evaluation system, single process, and inadequate quantitative analysis. METHODS:Proposes a decision tree and intelligent optimization algorithm for the college distance teaching quality assessment method. Firstly, the kernel principal component analysis method is used to carry out dimensionality reduction analysis on the index system of college distance teaching quality assessment; then, the decision tree parameters are optimized through the marine predator algorithm to construct a college distance teaching quality assessment model; finally, the robustness and efficiency of the proposed method are verified through simulation experimental analysis. RESULTS: The results show that the proposed method improves the accuracy of the assessment model. CONCLUSION: The problem of insufficient objective and scientific evaluation and low precision of distance teaching quality assessment methods in colleges and universities is solved.

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Section: Marine Predator Algorithmmentioning

confidence: 99%

Application of Decision Tree Classification Algorithm in Quality Assessment of Distance Learning in Colleges

Nan,

Li,

Zhang

et al. 2023

ICST Transactions on Scalable Information Systems

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“…A compelling new algorithm in the metaheuristic group is the MPA inspired by the foraging of the great and intelligent sea predators [44]. e MPA has been applied to solve engineering problems [45][46][47][48][49] such as designing a spring for compression tension, welded beam, and pressure vessel. However, it is not commonly used to find the optimal rule curves.…”

Section: Introductionmentioning

confidence: 99%

Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Ngamsert

Kangrang

2022

Advances in Civil Engineering

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This paper proposes the Marine Predators algorithm (MPA) linked with the reservoir simulation model and considering sedimentation, in order to improve reservoir rule curves. The release criteria of the hedging rule (HR) and standard operating policy (SOP) were investigated in this study. The results showed that the patterns of the new optimal rule curves from the MPA technique considering sedimentation and using HR were practically useful in this study, as were the patterns of the new optimal rule curves using SOP and those of the existing rule curves. Furthermore, the new optimal rule curves using HR criteria were able to alleviate both water scarcity and excess water situations better than both existing rule curves and optimal rule curves using SOP in terms of minimal average water shortage. The new curves reduced minimal average water shortage by 53% and excess release water deficit by 19%, whereas the frequency of water shortage term was increased by 3%. The results of rule curves efficiency from MPA were higher than GA and FPA techniques in terms of providing solutions. There was a significant difference in the efficiency of water problem alleviation between considering and not considering sedimentation. It can be concluded that the MPA linked with reservoir simulation using HR criteria and considering sedimentation can be used to find optimal rule curve solutions effectively.

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Marine predator algorithm with elite strategies for engineering design problems

Aydemı̇r

Onay

2023

Concurrency and Computation

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Marine predator algorithm (MPA) is a powerful metaheuristic optimization algorithm that shows effective convergence ability on complex benchmark functions. The combination of Brownian and Levy flight distributions directly affects the convergence strategy of MPA. Although MPA has good convergence performance, it is open to improvement as it falls to a local optimum and cannot comprehensively scan the search area during the exploration phase. In this study, MPA has been improved by integrating elite natural evolution and elite random mutation strategies. In addition, these two strategies are combined with Gaussian mutation. The proposed method in this study which is named as elite evolution strategy MPA (EEMPA) has achieved comprehensive scanning of the solution space and considerably reduced the risk of falling into the local optimum trap, with elite strategies. The effect of EEMPA has been tested with the CEC2017 and CEC2019 benchmark functions. EEMPA has been compared with some metaheuristic algorithms frequently used in the literature and gives promising results among the considered optimization methods. Furthermore, EEMPA has been examined for seven well-known real world engineering problems. When the results are compared with both classical MPA and enhanced MPA methods, EEMPA converges to better than the other methods.

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Marine predators' algorithm: Application in applied mechanics

Cited by 6 publications

References 10 publications

Application of Decision Tree Classification Algorithm in Quality Assessment of Distance Learning in Colleges

Application of Decision Tree Classification Algorithm in Quality Assessment of Distance Learning in Colleges

Applying of Marine Predators Algorithm Linked with Reservoir Simulation Model considering Sedimentation for Reservoir Operation

Marine predator algorithm with elite strategies for engineering design problems

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