Energy Systems
混沌猎鹰优化
Chaotic Harris Hawks optimizationA metaheuristic optimization algorithm inspired by the hunting behavior of Harris Hawks, enhanced with chaotic maps to improve exploration and escape from local optima. / 一种受猎鹰捕食行为启发并引入混沌映射以增强探索能力和逃离局部最优的元启发式优化算法。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-26 22:01:11
Sub-knowledge points
Exploration phaseExploitation phaseHarris Hawks' Diving ManeuverChaotic sequence generation
Higher-order knowledge points
Metaheuristic optimizationSwarm intelligenceRenewable energy system optimization
Main parameters and performance indicators
Population size: Number of hawks in the swarmMaximum iterations: Number of optimization cyclesChaotic map: Specific chaotic function (e.g., Logistic map) used for initialization or trajectoryEscape probability: Probability of the prey attempting to escape
Open problems
Parameter sensitivity analysisConvergence rate on high-dimensional non-convex problemsScalability to real-time industrial applications
Related literature
ranked by community starsFlexible scheduling of renewable energy systems with building thermal inertia using Chaotic Harris Hawks optimizationOpen source
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1 recordsRecord title: Chaotic Harris Hawks optimization.
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