robotics control and mechatronics
NSGA-II 优化
NSGA-II optimizationNon-dominated Sorting Genetic Algorithm II is a multi-objective evolutionary algorithm used to find Pareto-optimal solutions. / 非支配排序遗传算法II是一种用于寻找帕累托最优解的多目标进化算法。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-26 16:01:33
Sub-knowledge points
Non-dominated sortingCrowding distance calculationEnvironmental selection
Higher-order knowledge points
Multi-objective optimizationEvolutionary computation
Main parameters and performance indicators
population size: number of individuals in the populationcrossover probability: rate of combining parent chromosomesmutation probability: rate of random gene alteration
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsReliability-informed intelligent shield attitude control for underground tunnelling using MTGCN spatiotemporal prediction and NSGA-II optimizationOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: NSGA-II optimization.
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