ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.17866
  4. Cited By
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization

23 May 2025
Hongshu Guo
Zeyuan Ma
Yining Ma
Xinglin Zhang
Wei-Neng Chen
Yue-Jiao Gong
ArXivPDFHTML

Papers citing "DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization"

16 / 16 papers shown
Title
Meta-Black-Box-Optimization through Offline Q-function Learning
Meta-Black-Box-Optimization through Offline Q-function Learning
Zeyuan Ma
Zhiguang Cao
Zhou Jiang
Hongshu Guo
Jiawei Liu
OffRL
15
2
0
04 May 2025
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
Hongshu Guo
Sijie Ma
Zechuan Huang
Yuzhi Hu
Zeyuan Ma
Xinglin Zhang
Yue-Jiao Gong
68
4
0
23 Mar 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-Jiao Gong
Jun Zhang
Kay Chen Tan
224
4
0
01 Nov 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary
  Computation via Deep Reinforcement Learning
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
Zeyuan Ma
Jiacheng Chen
Hongshu Guo
Yining Ma
Yue-Jiao Gong
68
9
0
12 Apr 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma
Hongshu Guo
Jiacheng Chen
Guojun Peng
Zhiguang Cao
Yining Ma
Yue-Jiao Gong
SyDa
ALM
53
19
0
02 Mar 2024
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Xiaobin Li
K. Wu
Xiaoyu Zhang
Handing Wang
Qingbin Liu
44
11
0
24 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
631
13,788
0
15 Mar 2023
MMES: Mixture Model based Evolution Strategy for Large-Scale
  Optimization
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
Xiaoyu He
Zibin Zheng
Yuren Zhou
29
32
0
15 Mar 2022
Machine Learning for Electronic Design Automation: A Survey
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang
Jingbo Hu
Yifan He
Jialong Liu
Mingyuan Ma
...
Yuzhe Ma
Haoyu Yang
Bei Yu
Huazhong Yang
Yu Wang
38
228
0
10 Jan 2021
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
79
1,440
0
02 Aug 2019
Deep Reinforcement Learning Based Parameter Control in Differential
  Evolution
Deep Reinforcement Learning Based Parameter Control in Differential Evolution
Mudita Sharma
Alexandros Komninos
Manuel López-Ibánez
D. Kazakov
18
74
0
20 May 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
759
11,793
0
09 Mar 2017
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box
  Setting
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
N. Hansen
A. Auger
Raymond Ros
Olaf Mersmann
Tea Tušar
D. Brockhoff
24
421
0
29 Mar 2016
A Computationally Efficient Limited Memory CMA-ES for Large Scale
  Optimization
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization
I. Loshchilov
ODL
33
88
0
21 Apr 2014
1