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Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs

Mingxi Ma, Jun Wu, Yue Shi, Longfei Yue, Cheng Yang, Xuyi Chen
2022 IEEE Access  
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

Mert Sinan Turgut, Oguz Emrah Turgut
2020 SN Applied Sciences  
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

Xiaodong Zhao, Yiming Fang, Le Liu, Miao Xu, Pan Zhang
2020 Applied Soft Computing  
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

Yufan Wu, Rongling Chen, Chunquan Li, Leyingyue Zhang, Zhiling Cui
2020 IEEE Access  
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

Xuefeng Dai, Yang Wei
2021 IEEE Access  
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

Mohammad H. Nadimi-Shahraki, Ebrahim Moeini, Shokooh Taghian, Seyedali Mirjalili
2021 Algorithms  
In this paper, a discrete mothflame optimization algorithm for community detection (DMFO-CD) is proposed.  ...  The representation of solution vectors, initialization, and movement strategy of the continuous mothflame 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

Li Zhang, Kamlesh Mistry, Siew Chin Neoh, Chee Peng Lim
2016 Knowledge-Based Systems  
, 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

Zhiling Cui, Chunquan Li, Junru Huang, Yufan Wu, Leyingyue Zhang
2020 IEEE Access  
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

Trong-The Nguyen, Hong-Jiang Wang, Thi-Kien Dao, Jeng-Shyang Pan, Truong-Giang Ngo, Jie Yu
2020 IEEE Access  
, 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

Gehad Ismail Sayed, Aboul Ella Hassanien
2018 Complex & Intelligent Systems  
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

Jie Luo, Huiling Chen, Zhongyi Hu, Hui Huang, Pengjun Wang, Xianqin Wang, Xin-en Lv, Congcong Wen
2019 IEEE Access  
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

Yanhong Feng, Jiao-Hong Yi, Gai-Ge Wang
2019 IEEE Access  
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

See Leng Chia, Min Yan Chia, Chai Hoon Koo, Yuk Feng Huang
2021 Water Science and Technology : Water Supply  
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

Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, Seyedali Mirjalili, Laith Abualigah
2021 Entropy  
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

Fan Wang, Xiang Liao, Na Fang, Zhiqiang Jiang
2022 Energies  
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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