Meta-optimizationThe last couple of decades have witnessed a steadily increasing applications of nature inspired optimization (NIO) in vast fields such as power engineering, environmental engineering, and civil engineering. Behavioral parameters deeply affect the optimization performance for a NIO algorithm....
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation阅读笔记 动机 本文是2020年KDD上的一篇论文。当时的工作已经有不少方法使用元学习来缓解推荐系统冷启动问题,它们大部分都是基于MAML的,这种方法通常是为所有冷启动用户(物品)生成一个初始化向量,然后让这些冷启动用户(物品)经过少量训练就可以快速...
This paper presents the extension of framework for automatic design space exploration (FADSE) tool using a meta-optimization approach, which is used to improve the performance of design space exploration algorithms, by driving two different multiobjective meta-heuristics concurrently. More precisely, we...
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach 来自 arXiv.org 喜欢 0 阅读量: 2 作者:C Zhao,H Zhao,M He,X Li,J Fan 摘要: Cross-domain recommendation offers a potential avenue for alleviating data sparsity and cold-start problems. Embedding and mapping, as a ...
Meta-optimization algorithms can be grouped into two main classes: Parameter tuning: the parameters are chosen offline and their values do not change during evolution, which is the case of interest for this paper; Parameter control [14]: the parameters may vary during evolution, according to a ...
在每一轮,模型会用prompt的方法生成一些新问题,在新问题上继续采样回复,进行优化。MetaMath是可以生成一些带参考答案的题目,但是ScPO不需要参考答案,所以可以采用MuggleMath等方法进行题目生成。 构造自我一致的偏好数据对 每个问题,对模型的回复进行投票,如果最多的票数多于某个阈值,那么保留这样的样本。把票数最多的...
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论文笔记:Meta-Learning-Based Deep Reinforcement Learningfor Multiobjective Optimization Problems 1.研究内容: 多目标组合优化问题: 在现实生活中,优化问题往往有不止一个维度,这些问题可以被建模为多目标优化问题,目标是获得一个种群大小的解集。 minx∈XF(x)=(f1(x),f2(x),...,fm(x))T 文章...
Ant Colony Optimization (ACO) algorithm is a modern Optimization technique solving problems of power system field. It is inspired by the behavior of ants in finding paths of the ant colonies to food. In this paper, the Max-Min Ant System, an Ant Colony Optimization algorithm, is used for ...
An electromagnetism algorithm is a meta-heuristic proposed to derive approximate solutions for computationally hard problems. In the literature, several successful applications have been reported for graph-based optimization problems, su... M Mirabi,SMTF Ghomi,F Jolai - 《Scientia Iranica》 被引量:...