Applied Mathematics
飞蛾火焰优化算法
Moth-Flame OptimisationA metaheuristic algorithm inspired by the behaviour of moths navigating using a transverse orientation mechanism to find a light source. / 基于飞蛾利用横向定向机制寻找光源的行为而设计的元启发式算法。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 08:04:09
Sub-knowledge points
Transverse orientation mechanismFlame updating strategyExploration and exploitation balance
Higher-order knowledge points
Metaheuristic optimisationNature-inspired computingEvolutionary algorithms
Main parameters and performance indicators
Population size: Number of moths/flames in the search spaceMax iterations: Number of generations to run the algorithmDimension: Number of variables in the optimization problemlb/ub: Lower and upper bounds for the search space
Open problems
Convergence speed on high-dimensional multimodal functionsPremature convergence to local optimaParameter sensitivity analysis
Related literature
ranked by community starsP i b /i MO-MFO: a metaheuristic approach integrating Pareto dominance into moth-flame optimisationOpen source
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1 recordsRecord title: Moth-Flame Optimisation.
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