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A Double Evolutionary Learning Moth-Flame Optimization for Real-Parameter Global Optimization Problems

https://doi.org/10.1109/access.2018.2884130
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-60663-7_3openalex-snapshot
OMFO: A New Opposition-Based Moth-Flame Optimization Algorithm for Solving Unconstrained Optimization Problems
inferredcites →https://doi.org/10.1007/978-3-642-12538-6_6openalex-snapshot
A New Metaheuristic Bat-Inspired Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-13495-1_44openalex-snapshot
Fireworks Algorithm for Optimization
inferredcites →https://doi.org/10.1007/978-3-642-32894-7_27openalex-snapshot
Flower Pollination Algorithm for Global Optimization
inferredcites →https://doi.org/10.1007/978-981-10-3770-2_53openalex-snapshot
A Novel Hybrid Approach Particle Swarm Optimizer with Moth-Flame Optimizer Algorithm
inferredcites →https://doi.org/10.1007/bf00047572openalex-snapshot
Simulated annealing: Theory and applications
inferredcites →https://doi.org/10.1007/bf00175354openalex-snapshot
A genetic algorithm tutorial
inferredcites →https://doi.org/10.1007/s00500-017-2894-yopenalex-snapshot
An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems
inferredcites →https://doi.org/10.1007/s10489-013-0458-0openalex-snapshot
An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation
inferredcites →https://doi.org/10.1007/s10489-016-0810-2openalex-snapshot
A least squares support vector machine model optimized by moth-flame optimization algorithm for annual power load forecasting
inferredcites →https://doi.org/10.1007/s10898-007-9149-xopenalex-snapshot
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1007/s11721-007-0002-0openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1016/j.compstruc.2012.07.010openalex-snapshot
Water cycle algorithm – A novel metaheuristic optimization method for solving constrained engineering optimization problems
inferredcites →https://doi.org/10.1016/j.ejor.2006.06.046openalex-snapshot
Ant colony optimization for continuous domains
inferredcites →https://doi.org/10.1016/j.enconman.2016.06.052openalex-snapshot
Parameters extraction of the three diode model for the multi-crystalline solar cell/module using Moth-Flame Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.023openalex-snapshot
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
inferredcites →https://doi.org/10.1016/j.ins.2009.03.004openalex-snapshot
GSA: A Gravitational Search Algorithm
inferredcites →https://doi.org/10.1016/j.ins.2015.09.009openalex-snapshot
Differential evolution with multi-population based ensemble of mutation strategies
inferredcites →https://doi.org/10.1016/j.knosys.2011.07.001openalex-snapshot
A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example
inferredcites →https://doi.org/10.1016/j.knosys.2015.07.006openalex-snapshot
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.060openalex-snapshot
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
inferredcites →https://doi.org/10.1016/j.swevo.2011.02.002openalex-snapshot
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
inferredcites →https://doi.org/10.1016/j.yofte.2017.05.018openalex-snapshot
Optical network unit placement in Fiber-Wireless (FiWi) access network by Moth-Flame optimization algorithm
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1080/21681015.2016.1192068openalex-snapshot
Multi-item EOQ model with nonlinear unit holding cost and partial backordering: moth-flame optimization algorithm
inferredcites →https://doi.org/10.1109/3477.484436openalex-snapshot
Ant system: optimization by a colony of cooperating agents
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/access.2017.2776958openalex-snapshot
A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy
inferredcites →https://doi.org/10.1109/access.2018.2821118openalex-snapshot
A Brain Storm Optimization With Multi-Information Interactions for Global Optimization Problems
inferredcites →https://doi.org/10.1109/cec.2016.7744378openalex-snapshot
Feature selection approach based on moth-flame optimization algorithm
inferredcites →https://doi.org/10.1109/icec.1998.699146openalex-snapshot
A modified particle swarm optimizer
inferredcites →https://doi.org/10.1109/icenco.2015.7416360openalex-snapshot
Moth-flame optimization for training Multi-Layer Perceptrons
inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1109/jcsse.2016.7748919openalex-snapshot
Multilevel thresholding for satellite image segmentation with moth-flame based optimization
inferredcites →https://doi.org/10.1109/tcbb.2015.2497227openalex-snapshot
A Cooperative Framework for Fireworks Algorithm
inferredcites →https://doi.org/10.1109/tcyb.2014.2322602openalex-snapshot
A Competitive Swarm Optimizer for Large Scale Optimization
inferredcites →https://doi.org/10.1109/tcyb.2016.2616170openalex-snapshot
Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization
inferredcites →https://doi.org/10.1109/tevc.2005.857610openalex-snapshot
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
inferredcites →https://doi.org/10.1109/tevc.2008.927706openalex-snapshot
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
inferredcites →https://doi.org/10.1109/tevc.2011.2173577openalex-snapshot
Particle Swarm Optimization With an Aging Leader and Challengers
inferredcites →https://doi.org/10.1109/tevc.2013.2297160openalex-snapshot
Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator
inferredcites →https://doi.org/10.1109/tevc.2016.2591064openalex-snapshot
Adaptive Multimodal Continuous Ant Colony Optimization
inferredcites →https://doi.org/10.1109/tevc.2017.2743016openalex-snapshot
A Level-Based Learning Swarm Optimizer for Large-Scale Optimization
inferredcites →https://doi.org/10.1155/2015/923698openalex-snapshot
An Improved Brain Storm Optimization with Differential Evolution Strategy for Applications of ANNs
inferredcites →https://doi.org/10.1155/2016/1423930openalex-snapshot
Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems
inferredcites →https://doi.org/10.1162/106365601750190398openalex-snapshot
Completely Derandomized Self-Adaptation in Evolution Strategies
inferredcites →https://doi.org/10.1177/003754970107600201openalex-snapshot
A New Heuristic Optimization Algorithm: Harmony Search
inferredcites →https://doi.org/10.1504/ijscc.2018.090745openalex-snapshot
Moth-flame optimisation algorithm-based fractional order PIλDμ controller with MRAC tuning configuration
inferredcites →https://doi.org/10.3139/120.111024openalex-snapshot
Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes
inferredcites →https://doi.org/10.4018/978-1-4666-2479-5.ch008openalex-snapshot
An Optimization Algorithm Based on Brainstorming Process
inferredcites →https://doi.org/10.4018/ijsir.2011100103openalex-snapshot
An Optimization Algorithm Based on Brainstorming Process

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Fuzzy Memetic Moth Flame Optimization Algorithm for Composing Medical Crews with Equity and Efficiency
inferred← citeshttps://doi.org/10.1007/978-3-031-08266-5_14openalex-snapshot
Evaluation of Times and Best Solutions of MFO, LSA and PSO Using Parallel Computing, Fuzzy Logic Systems and Migration Blocks Together to Evaluate Benchmark Functions
inferred← citeshttps://doi.org/10.1007/978-981-15-2449-3_40openalex-snapshot
Moth Flame Optimization: Developments and Challenges up to 2020
inferred← citeshttps://doi.org/10.1007/s00500-021-06560-0openalex-snapshot
An enhanced moth flame optimization with mutualism scheme for function optimization
inferred← citeshttps://doi.org/10.1007/s10462-022-10218-0openalex-snapshot
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
inferred← citeshttps://doi.org/10.1007/s10489-020-01793-2openalex-snapshot
An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problems
inferred← citeshttps://doi.org/10.1007/s10489-020-02081-9openalex-snapshot
Moth-flame optimization algorithm based on diversity and mutation strategy
inferred← citeshttps://doi.org/10.1007/s10489-022-04224-6openalex-snapshot
A novel high-level target navigation pigeon-inspired optimization for global optimization problems
inferred← citeshttps://doi.org/10.1007/s11831-022-09801-zopenalex-snapshot
Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications
inferred← citeshttps://doi.org/10.1007/s11831-023-10037-8openalex-snapshot
A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis
inferred← citeshttps://doi.org/10.1007/s12065-020-00389-6openalex-snapshot
An enhanced Moth-flame optimization algorithm for permutation-based problems
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Performance Analysis of Enhanced MFO-Based Online-Tuned Split-Range PID Controller
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Block chain-based decentralized public auditing for cloud storage with improved EIGAMAL encryption model
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A Hybrid Moth Flame Optimization Algorithm for Global Optimization
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A Non-Convex Economic Dispatch Problem with Point-Valve Effect Using a Wind-Driven Optimisation Approach
inferred← citeshttps://doi.org/10.1016/j.apm.2020.04.019openalex-snapshot
A quantum-behaved simulated annealing algorithm-based moth-flame optimization method
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Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115436openalex-snapshot
Death mechanism-based moth–flame optimization with improved flame generation mechanism for global optimization tasks
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120367openalex-snapshot
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
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DUPLICATE: Advanced Orthogonal Moth Flame Optimization with Broyden–Fletcher–Goldfarb–Shanno Algorithm: Framework and Real-world Problems
inferred← citeshttps://doi.org/10.1016/j.heliyon.2022.e10956openalex-snapshot
A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.105277openalex-snapshot
An Improved Moth-Flame Optimization algorithm with hybrid search phase
inferred← citeshttps://doi.org/10.1016/j.renene.2025.123498openalex-snapshot
Geometry optimization of a two-body heaving point absorber wave energy converter based on the long-term Oman Gulf wave climate
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Dynamic-opposite learning enhanced meta-heuristic approach for solving multiple industrial optimization problems
inferred← citeshttps://doi.org/10.1063/5.0048961openalex-snapshot
A multiple learning moth flame optimization algorithm with probability-based chaotic strategy for the parameters estimation of photovoltaic models
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Improved moth-flame algorithm based on cat chaotic and dynamic cosine factor
inferred← citeshttps://doi.org/10.1080/0952813x.2020.1737246openalex-snapshot
A comprehensive review of moth-flame optimisation: variants, hybrids, and applications
inferred← citeshttps://doi.org/10.1093/jcde/qwad053openalex-snapshot
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection
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Proposing and Evaluation of SC Techniques for Variable Speed High-Power Operation of SEIG
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User Preference Adaptive Fitness of Interactive Genetic Algorithm Based Ceramic Disk Pattern Generation Method
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An Improved Moth Flame Optimization Algorithm for Minimizing Specific Fuel Consumption of Variable Cycle Engine
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Recent Meta-Heuristics Improved by Self-Adaptation Applied to Nonlinear Model-Based Predictive Control
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Hybrid Symbiotic Differential Evolution Moth-Flame Optimization Algorithm for Estimating Parameters of Photovoltaic Models
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An Adaptive Sine-Cosine Moth-Flame Optimization Algorithm for Parameter Identification of Hybrid Active Power Filters in Power Systems
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