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08/24/2023
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments
Many real-world optimization problems possess dynamic characteristics. E...
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06/19/2023
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives
Different from most other dynamic multi-objective optimization problems ...
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05/23/2023
Constrained Reinforcement Learning for Dynamic Material Handling
As one of the core parts of flexible manufacturing systems, material han...
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05/11/2023
Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights
Evolutionary computation has shown its superiority in dynamic optimizati...
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05/03/2023
Local Optima Correlation Assisted Adaptive Operator Selection
For solving combinatorial optimisation problems with metaheuristics, dif...
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04/19/2023
Evolving Constrained Reinforcement Learning Policy
Evolutionary algorithms have been used to evolve a population of actors ...
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04/17/2023
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
Large Language Models (LLMs), such as ChatGPT and GPT-4, have revolution...
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04/09/2023
Experience-Based Evolutionary Algorithms for Expensive Optimization
Optimization algorithms are very different from human optimizers. A huma...
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04/08/2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack
Deep learning models can be fooled by small l_p-norm adversarial perturb...
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04/03/2023
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model
In natural language processing, pre-trained language models have become ...
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03/16/2023
Multi-Objective Archiving
Most multi-objective optimisation algorithms maintain an archive explici...
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12/15/2022
Gradient-based Intra-attention Pruning on Pre-trained Language Models
Pre-trained language models achieve superior performance, but they are c...
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12/05/2022
FeSAC: Federated Learning-Based Soft Actor-Critic Traffic Offloading in Space-Air-Ground Integrated Network
With the increase of intelligent devices leading to increasing demand fo...
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11/05/2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments
Many real-world problems are usually computationally costly and the obje...
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10/10/2022
A Survey on Heterogeneous Federated Learning
Federated learning (FL) has been proposed to protect data privacy and vi...
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09/22/2022
How Good Is Neural Combinatorial Optimization?
Traditional solvers for tackling combinatorial optimization (CO) problem...
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04/08/2022
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems
Dynamic multi-objective optimization problems (DMOPs) are widely accepte...
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04/06/2022
Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank
In practical multi-criterion decision-making, it is cumbersome if a deci...
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01/14/2022
An Efficient Multi-Indicator and Many-Objective Optimization Algorithm based on Two-Archive
Indicator-based algorithms are gaining prominence as traditional multi-o...
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01/12/2022
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Intelligent techniques are urged to achieve automatic allocation of the ...
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11/26/2021
TRIP: Refining Image-to-Image Translation via Rival Preferences
Relative attribute (RA), referring to the preference over two images on ...
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09/19/2021
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Reconfigurable Intelligent Surface (RIS) is a revolutionizing approach t...
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08/19/2021
Lifelong Computing
Computing systems form the backbone of many aspects of our life, hence t...
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07/23/2021
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
This document describes the generalized moving peaks benchmark (GMPB) an...
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07/14/2021
Differential-Critic GAN: Generating What You Want by a Cue of Preferences
This paper proposes Differential-Critic Generative Adversarial Network (...
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06/14/2021
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
Gridless methods show great superiority in line spectral estimation. The...
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06/14/2021
Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
The source number identification is an essential step in direction-of-ar...
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06/11/2021
Generalized Moving Peaks Benchmark
This document describes the Generalized Moving Peaks Benchmark (GMPB) th...
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05/07/2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
The performance of deep reinforcement learning methods prone to degenera...
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04/14/2021
When Non-Elitism Meets Time-Linkage Problems
Many real-world applications have the time-linkage property, and the onl...
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04/14/2021
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Deep reinforcement learning methods have shown great performance on many...
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04/14/2021
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems
The capacitated arc routing problem (CARP) is a challenging combinatoria...
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11/12/2020
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
The vehicle routing problem with simultaneous pickup-delivery and time w...
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11/11/2020
Robust Reinforcement Learning for General Video Game Playing
Reinforcement learning has successfully learned to play challenging boar...
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07/01/2020
Few-shots Parameter Tuning via Co-evolution
Generalization, i.e., the ability of addressing problem instances that a...
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06/27/2020
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem
The reliable facility location problem (RFLP) is an important research t...
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05/26/2020
Continual Local Training for Better Initialization of Federated Models
Federated learning (FL) refers to the learning paradigm that trains mach...
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05/23/2020
Knee Point Identification Based on Trade-Off Utility
Knee points, characterised as their smallest trade-off loss at all objec...
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05/13/2020
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros
Applying latent variable evolution to game level design has become more ...
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04/26/2020
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
In real-world applications, many optimization problems have the time-lin...
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02/20/2020
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
With modern requirements, there is an increasing tendancy of considering...
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02/07/2020
Dynamic Multi-objective Optimization of the Travelling Thief Problem
Investigation of detailed and complex optimisation problem formulations ...
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01/20/2020
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
Architectural patterns provide a reusable architectural solution for com...
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11/27/2019
Adaptive Initialization Method for K-means Algorithm
The K-means algorithm is a widely used clustering algorithm that offers ...
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11/19/2019
On Performance Estimation in Automatic Algorithm Configuration
Over the last decade, research on automated parameter tuning, often refe...
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10/24/2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Human beings are able to master a variety of knowledge and skills with o...
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10/18/2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
Federated Averaging (FedAvg) serves as the fundamental framework in Fede...
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10/16/2019
Negatively Correlated Search as a Parallel Exploration Search Strategy
Parallel exploration is a key to a successful search. The recently propo...
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09/30/2019
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
The ultimate goal of multi-objective optimisation is to help a decision ...
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08/16/2019