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06/18/2023
Personalized Elastic Embedding Learning for On-Device Recommendation
To address privacy concerns and reduce network latency, there has been a...
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05/29/2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
How to train a generalizable meta-policy by continually learning a seque...
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04/11/2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
Given the ubiquity of non-separable optimization problems in real worlds...
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03/12/2023
AutoOptLib: A Library of Automatically Designing Metaheuristic Optimization Algorithms in MATLAB
Metaheuristic algorithms are widely-recognized solvers for challenging o...
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03/12/2023
A Survey on Automated Design of Metaheuristic Algorithms
Metaheuristic algorithms have attracted wide attention from academia and...
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02/10/2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
Collaborative filtering (CF) based recommender systems are typically tra...
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12/12/2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
In this paper, we present a pure-Python open-source library, called PyPo...
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09/19/2022
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Both real and fake news in various domains, such as politics, health, an...
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07/27/2022
Evolutionary Multiparty Distance Minimization
In the field of evolutionary multiobjective optimization, the decision m...
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06/24/2022
Toward multi-target self-organizing pursuit in a partially observable Markov game
The multiple-target self-organizing pursuit (SOP) problem has wide appli...
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04/07/2022
Single-shot Embedding Dimension Search in Recommender System
As a crucial component of most modern deep recommender systems, feature ...
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04/03/2022
AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Metaheuristics are gradient-free and problem-independent search algorith...
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03/25/2022
AutoML for Deep Recommender Systems: A Survey
Recommender systems play a significant role in information filtering and...
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01/03/2022
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Dynamic and multimodal features are two important properties and widely ...
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06/14/2021
Evolutionary Robust Clustering Over Time for Temporal Data
In many clustering scenes, data samples' attribute values change over ti...
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06/05/2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Imbalanced classification on graphs is ubiquitous yet challenging in man...
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05/27/2021
Adaptive Coordinated Motion Control for Swarm Robotics Based on Brain Storm Optimization
Coordinated motion control in swarm robotics aims to ensure the coherenc...
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05/27/2021
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
Swarm intelligence optimization algorithms can be adopted in swarm robot...
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05/27/2021
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems
Population-based methods are often used to solve multimodal optimization...
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01/08/2020
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Fatigue is the most vital factor of road fatalities and one manifestatio...
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01/23/2019
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain
The pursuit domain, or predator-prey problem is a standard testbed for t...
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08/12/2016
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization
In this paper, we are concerned with a branch of evolutionary algorithms...
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06/12/2013