Search Results - Learnable evolutionary algorithms

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization by Liu, Songbai, Lin, Qiuzhen, Li, Jianqiang, Tan, Kay Chen

“…Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs…”
Get full text

Testing vision-based control systems using learnable evolutionary algorithms by Abdessalem, Raja Ben, Nejati, Shiva, Briand, Lionel C., Stifter, Thomas

“… Testing such systems is complicated by complex and multidimensional input spaces. We propose an automated testing algorithm that builds on learnable evolutionary algorithms…”
Get full text

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution by Liu, Xin, Sun, Jianyong, Zhang, Qingfu, Wang, Zhenkun, Xu, Zongben

“… With the advancement of artificial intelligence, especially deep learning and reinforcement learning, it is becoming appealing to rethink the design and development of evolutionary algorithm (EA…”
Get full text

Sequential Learnable Evolutionary Algorithm: A Research Program by Shiu Yin Yuen, Xin Zhang, Yang Lou

“…Evolutionary algorithms are typically run several times in design optimization problems and the best solution taken…”
Get full text

Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm by Jia, Liruizhi, Zhang, Qinshuo, Liu, Shengquan, Kong, Bo, Liu, Yuan

“… Multi-objective evolutionary algorithms are sensitive to the initial population quality and local search strategies for path planning, where unreasonable initial solutions or improper local search…”
Get full text

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization by Liu, Songbai, Lin, Qiuzhen, Li, Jianqiang, Kay Chen Tan

“…Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs…”
Get full text

An analysis of a model-based evolutionary algorithm: Learnable Evolution Model by Coletti, Mark

“… Learnable Evolution Model (LEM) is an EA that has an evolutionary algorithm component that works in tandem with a machine learner to collaboratively create populations of individuals…”
Get full text

A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering by Kinoshita, Takato, Masuyama, Naoki, Nojima, Yusuke

“… However, to the best of our knowledge, a few studies tackle this emerging topic. This paper introduces multiobjective evolutionary algorithms (MOEAs…”
Get full text

Learning improvement representations to accelerate evolutionary large-scale multiobjective optimization by Liu, Songbai, Wang, Zeyi, Ma, Lijia, Chen, Jianyong, Zhou, Xun

“…Large-Scale multi-objective optimization problems present significant challenges to traditional evolutionary algorithms due to the exponentially increased search space and computational burden…”
Get full text

Multi-objective mobile robot path planning problem through learnable evolution model by Moradi, Behzad

“…A new multi-objective non-Darwinian-type evolutionary computation approach based on learnable evolution model (LEM…”
Get full text

Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm by Li, Tianyu, Wu, Kai, Li, Xiaobin, Teng, Xiangyi, Liu, Jing

“… However, these learnable evolutionary algorithms are only applicable to single-objective optimization and cannot be applied to multi-objective optimization problems…”
Get full text

Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence Model by Huang, Jiaxiang, Jiao, Licheng

“…Recent advances in learnable evolutionary algorithms have demonstrated the importance of leveraging population distribution information and historical evolutionary trajectories…”
Get full text

Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding by Zhou, Lei, Feng, Liang, Gupta, Abhishek, Ong, Yew-Soon

“…The design of the evolutionary algorithm with learning capability from past search experiences has attracted growing research interests in recent years…”
Get full text

A New Automated Design Method Based on Machine Learning for CMOS Analog Circuits by Moradi, Behzad, Mirzaei, Abdolreza

“…A new simulation based automated CMOS analog circuit design method which applies a multi-objective non-Darwinian-type evolutionary algorithm based on Learnable Evolution Model (LEM…”
Get full text

An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand by Niu, Yunyun, Kong, Detian, Wen, Rong, Cao, Zhiguang, Xiao, Jianhua

“…), due to the uncertainty in customer demands and potentially conflicted objectives. In this paper, we present an improved multi-objective learnable evolution model (IMOLEM…”
Get full text

A Learnable Prior Improves Inverse Tumor Growth Modeling by Weidner, Jonas, Ezhov, Ivan, Balcerak, Michal, Metz, Marie-Christin, Litvinov, Sergey, Kaltenbach, Sebastian, Feiner, Leonhard, Lux, Laurin, Kofler, Florian, Lipkova, Jana, Latz, Jonas, Rueckert, Daniel, Menze, Bjoern, Wiestler, Benedikt

“… Our method incorporates a DL ensemble for initial parameter estimation, facilitating efficient downstream evolutionary sampling initialized with this DL-based prior…”
Get full text

Boosting Adversarial Transferability With Learnable Patch-Wise Masks by Wei, Xingxing, Zhao, Shiji

“… To accurately localize these regions, we present a learnable approach to automatically optimize the mask…”
Get full text

The new optimization algorithm for the vehicle routing problem with time windows using multi-objective discrete learnable evolution model by Moradi, Behzad

“… (VRPTW). Learnable evolution model (LEM) includes a machine learning algorithm, like the decision trees, that can discover the correct directions of the evolution leading to significant improvements in the fitness of the individuals…”
Get full text

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities by Song, Yanjie, Wu, Yutong, Guo, Yangyang, Yan, Ran, Suganthan, Ponnuthurai Nagaratnam, Zhang, Yue, Pedrycz, Witold, Das, Swagatam, Mallipeddi, Rammohan, Ajani, Oladayo Solomon, Feng, Qiang

“…Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance in various real-world optimization problems…”
Get full text

Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem by Niu, Yunyun, Shao, Jie, Xiao, Jianhua, Song, Wen, Cao, Zhiguang

“… Most multi-objective evolutionary algorithm dealing with this problem update current population without any guidance from previous searching experience…”
Get full text