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Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs
2022
IEEE Access
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current sub-optimal solution, thus enhancing the global search capability of the algorithm. ...
Digital Object Identifier 10.1109/ACCESS.2022.3172710
Chaotic Random Opposition-Based Learning and
Cauchy Mutation Improved Moth-Flame
Optimization Algorithm for Intelligent
Route Planning of Multiple ...
doi:10.1109/access.2022.3172710
fatcat:tufscmvtsrfc5mtmv3uhcq62ke
Differential evolution based global best algorithm: an efficient optimizer for solving constrained and unconstrained optimization problems
2020
SN Applied Sciences
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This study proposes an optimization method called Global Best Algorithm for successful solution of constrained and unconstrained optimization problems. ...
Optimal solution obtained for economic dispatch problem also proves the applicability of the proposed method on multidimensional constrained problems with having large solution spaces. ...
of appropiate mutation strategy for a specific optimization problem. ...
doi:10.1007/s42452-020-2426-8
fatcat:huidcl725jhova6r75aompr7by
Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network
2020
Applied Soft Computing
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In the AMFO, the modified position update mechanism of moths for improving global convergence speed and the Gaussian mutation for enhancing exploration are utilized. ...
In the AMFO, the modified position update mechanism of moths for improving global convergence speed and the Gaussian mutation for enhancing exploration are utilized. ...
In [24] , Opposition-based Moth Flame Optimization (OMFO) with Cauchy mutation and evolutionary boundary constraint handling was proposed to solve the global optimization problem. 25 In [25] , two ...
doi:10.1016/j.asoc.2020.106418
fatcat:mgve4gvw6rfcrkpc5h7pifw3fi
Hybrid Symbiotic Differential Evolution Moth -Flame Optimization Algorithm for Estimating Parameters of Photovoltaic Models
2020
IEEE Access
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INDEX TERMS Photovoltaic (PV), moth flame optimization algorithm (MFO), differential evolution algorithm (DE), parameter identification, soybean-rhizobium nodule symbiosis. ...
To acquire specific parameters of photovoltaic models, we proposed a meta-heuristic algorithm named hybrid symbiotic differential evolution moth-flame optimization (HSDE-MFO) algorithm. ...
moth-flame optimization strategy [22] , Enhanced Moth-flame optimizer with mutation strategy [24] , etc. ...
doi:10.1109/access.2020.3005711
fatcat:2tfhtcultnbslg7s66jdhrqcyq
Application of Improved Moth-Flame Optimization Algorithm For Mobile Robot Path Planning
2021
IEEE Access
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In order to obtain the global optimal path of the mobile robot, an improved moth-flame optimization (IMFO) algorithm is proposed in this paper. The IMFO features the following two improvement. ...
INDEX TERMS Moth-flame optimization, quasi-opposition-based learning, spotted hyena optimization, path planning. ...
PROPOSED IMFO ALGORITHM In order to increase the global searching ability and enhance the robustness of the MFO algorithm, an improved moth flame algorithm called IMFO algorithm is proposed in this paper ...
doi:10.1109/access.2021.3100628
fatcat:tquszjdjlrgw5cftahxlveu5te
DMFO-CD: A Discrete Moth-Flame Optimization Algorithm for Community Detection
2021
Algorithms
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In this paper, a discrete moth–flame optimization algorithm for community detection (DMFO-CD) is proposed. ...
The representation of solution vectors, initialization, and movement strategy of the continuous moth–flame optimization are purposely adapted in DMFO-CD such that it can solve the discrete community detection ...
DMFO-CD: Discrete Moth-Flame Optimization Algorithm for Community Detection The purpose of the paper is to introduce a discrete moth-flame optimization algorithm for community detection (DMFO-CD) is explained ...
doi:10.3390/a14110314
doaj:a59b7ef55a4b4be3b12f7767e62c2959
fatcat:6cnzfcbpundfdbknrmsdyffdqe
Intelligent facial emotion recognition using moth-firefly optimization
2016
Knowledge-Based Systems
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, and outperforms other state-of-the-art feature optimization methods and related facial expression recognition models by a significant margin. ...
Evaluated with frontal-view images extracted from CK + , JAFFE, and MMI, and 45-degree multi-view and 90-degree side-view images from BU-3DFE and MMI, respectively, our system achieves a superior performance ...
(LFA) and the moth-flame optimization (MFO) algorithm. ...
doi:10.1016/j.knosys.2016.08.018
fatcat:dfgkyk4usvcxvlkio7ybd3ufcy
An Improved Moth Flame Optimization Algorithm for Minimizing Specific Fuel Consumption of Variable Cycle Engine
2020
IEEE Access
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To address this problem, an improved moth flame optimization algorithm with adaptive Lévy-Flight perturbations (ALFMFO) is proposed. ...
According to the population aggregation status, the Lévy-Flight disturbance strategy can adaptively adjust the perturbation probability to enhance the ability of ALFMFO to escape from local optimal solutions ...
Xu et al. introduced Cultural Learning (CL) and Gaussian Mutation (GM) into the original MFO and proposed an enhanced Moth Flame Optimization algorithm (EMFO)
FIGURE 1 . 1 The basic structure of the ...
doi:10.1109/access.2020.3001156
fatcat:kdr75v3onffr3g62mma7zftgnm
A Scheme of Color Image Multithreshold Segmentation Based on Improved Moth-Flame Algorithm
2020
IEEE Access
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, e.g., the enhanced MFO with mutation strategy (EMFO) [33] , chaotic mutative MFO (CMFO) [34] . ...
. (16) 15： end for 16：end for 17：Update the position of the current search agent with the Eq. (14) 18：iteration=iteration+1 19：end while Output： Global optimal value and global optimal solution
population ...
Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017 9 ...
doi:10.1109/access.2020.3025833
fatcat:gnxj5r2dkjha3gy24maevklz3i
A hybrid SA-MFO algorithm for function optimization and engineering design problems
2018
Complex & Intelligent Systems
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This paper presents a hybrid algorithm based on using moth-flame optimization (MFO) algorithm with simulated annealing (SA), namely (SA-MFO). ...
It takes the ability to escape from local optima mechanism of SA and fast searching and learning mechanism for guiding the generation of candidate solutions of MFO. ...
Author in [25] introduces new mutation rule to be combined with the basic mutation strategy of differential evolution algorithm. ...
doi:10.1007/s40747-018-0066-z
fatcat:bg75ac6fevecxk2bilm4obt7u4
A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis Jie
2019
IEEE Access
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The new optimization strategy adopted grey wolf optimization algorithm to generate high-quality initial populations for moth-flame optimization algorithm, called GWOMFO. ...
INDEX TERMS Grey wolf optimization, moth-flame optimization, kernel extreme learning machine, somatization disorder diagnosis. 45512 2169-3536 ...
ENHANCED MOTH-FLAME OPTIMIZATION STRATEGY (GWOMFO) Although MFO can effectively solve the optimization problem, it also has the shortcoming of slow convergence and easy to fall into local optimum. ...
doi:10.1109/access.2019.2900985
fatcat:cpyuf5r5h5h7rin3dhudx5q4u4
Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems
2019
IEEE Access
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In this paper, we present an enhanced moth search algorithm (EMS) for solving SUKP, which introduces an enhanced interaction operator (EIO) by integrating differential mutation into the global harmony ...
INDEX TERMS Differential mutation, global harmony search, moth search algorithm, set-union knapsack problem. ...
The main inspiration of moth-flame optimization (MFO) [12] is transverse orientation navigation method of moth. ...
doi:10.1109/access.2019.2956839
fatcat:x7dh3eto7fcuzp2t32fvo453l4
Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction
2021
Water Science and Technology : Water Supply
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mix mutation strategy (SMWOA) as well as ameliorative moth-flame optimization (AMFO) separately. ...
However, the emergence of newly developed advanced algorithms can provide new scopes and possibilities for further enhancements. ...
ACKNOWLEDGEMENTS
DATA AVAILABILITY STATEMENT Data cannot be made publicly available; readers should contact the corresponding author for details. ...
doi:10.2166/ws.2021.303
fatcat:imjtb5iytbfm3d5ctun5yhgbxm
An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems
2021
Entropy
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Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths toward the light source is an effective approach to solve global optimization problems. ...
In this study, therefore, an improved moth-flame optimization (I-MFO) algorithm is proposed to cope with canonical MFO's issues by locating trapped moths in local optimum via defining memory for each moth ...
Consequently, many MFO variants have been developed such as Lévy-flight moth-flame optimization (LMFO) [92] , non-dominated sorting moth flame optimization (NS-MFO) [93] , enhanced moth-flame optimization ...
doi:10.3390/e23121637
pmid:34945943
pmcid:PMC8700729
fatcat:sqpspvrcybhr7ou4k7jg5w2gbq
Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm
2022
Energies
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This paper introduced an improved moth-flame optimization algorithm to meet the challenge of energy complementary dispatching. ...
The proposed algorithm adopts three effective strategies, namely inertia weight, unified initialization, and the spiral position update strategy, which maintains a strong global search ability and a potent ...
An enhanced moth-flame optimization algorithm (IUVMFO).Figure 3. An enhanced moth-flame optimization algorithm (IUVMFO).
Figure 3 . 3 Figure 3. ...
doi:10.3390/en15093410
fatcat:wrdzgh4gsrfy7lmdfpmb4bnmei
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