Papers Evolutionary Algorithms
“Evolutionary Algorithms” 태그가 달린 논문 1,107편 · 필터 해제
Defending Deep Neural Networks against Backdoor Attacks via Module Switching
The exponential increase in the parameters of Deep Neural Networks (DNNs) has significantly raised the cost of independent training, particularly for resource-constrained entities. As a result, there is a growing relianc…
Evolutionary AlgorithmsSST-2GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III
NSGA-III is one of the most widely adopted algorithms for tackling many-objective optimization problems. However, its CPU-based design severely limits scalability and computational efficiency. To address the limitations,…
Computational EfficiencyCPUEvolutionary AlgorithmsGPUOn the Dynamics of Mating Preferences in Genetic Programming
Several mating restriction techniques have been implemented in Evolutionary Algorithms to promote diversity. From similarity-based selection to niche preservation, the general goal is to avoid premature convergence by no…
DiversityEvolutionary AlgorithmsLLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
In machine learning, Neural Architecture Search (NAS) requires domain knowledge of model design and a large amount of trial-and-error to achieve promising performance. Meanwhile, evolutionary algorithms have traditionall…
Evolutionary Algorithmsimage-classificationImage ClassificationLarge Language Model+4Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
Policy optimization seeks the best solution to a control problem according to an objective or fitness function, serving as a fundamental field of engineering and research with applications in robotics. Traditional optimi…
Contrastive LearningDiversityEvolutionary AlgorithmsAdvancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives
Multi-modal optimization involves identifying multiple global and local optima of a function, offering valuable insights into diverse optimal solutions within the search space. Evolutionary algorithms (EAs) excel at find…
Evolutionary AlgorithmsMONO2REST: Identifying and Exposing Microservices: a Reusable RESTification Approach
The microservices architectural style has become the de facto standard for large-scale cloud applications, offering numerous benefits in scalability, maintainability, and deployment flexibility. Many organizations are pu…
Evolutionary AlgorithmsHierarchical Adaptive Expert for Multimodal Sentiment Analysis
Multimodal sentiment analysis has emerged as a critical tool for understanding human emotions across diverse communication channels. While existing methods have made significant strides, they often struggle to effectivel…
Emotion RecognitionEvolutionary AlgorithmsMultimodal Sentiment AnalysisMulti-Task Learning+2Evolutionary Policy Optimization
On-policy reinforcement learning (RL) algorithms are widely used for their strong asymptotic performance and training stability, but they struggle to scale with larger batch sizes, as additional parallel environments yie…
DiversityEvolutionary AlgorithmsReinforcement Learning (RL)Multi-objective Pseudo Boolean Functions in Runtime Analysis: A Review
Recently, there has been growing interest within the theoretical community in analytically studying multi-objective evolutionary algorithms. This runtime analysis-focused research can help formally understand algorithm b…
Evolutionary AlgorithmsPersonalized Language Models via Privacy-Preserving Evolutionary Model Merging
Personalization in large language models (LLMs) seeks to tailor models to individual user or user group preferences. Prompt-based methods augment queries with user preference information, whereas training-based methods d…
Evolutionary AlgorithmsPrivacy PreservingA Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
With the rapid development of artificial intelligence, intelligent decision-making techniques have gradually surpassed human levels in various human-machine competitions, especially in complex multi-agent cooperative tas…
Autonomous DrivingDecision MakingDrone navigationEvolutionary Algorithms+1Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
In recent years, there has been a growing interest in data-driven evolutionary algorithms (DDEAs) employing surrogate models to approximate the objective functions with limited data. However, current DDEAs are primarily …
Evolutionary Algorithmsglobal-optimizationTransfer LearningPAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms
Evolutionary Algorithms (EAs) employ random or simplistic selection methods, limiting their exploration of solution spaces and convergence to optimal solutions. The randomness in performing crossover or mutations may lim…
DiversityEvolutionary AlgorithmsIn-Context LearningLanguage Modeling+2Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations of solutions using machine learning tec…
Evolutionary AlgorithmsManagementmodelEstimation of total body fat using symbolic regression and evolutionary algorithms
Body fat percentage is an increasingly popular alternative to Body Mass Index to measure overweight and obesity, offering a more accurate representation of body composition. In this work, we evaluate three evolutionary c…
Evolutionary AlgorithmsregressionSymbolic RegressionEvolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
Data increasingly abounds, but distilling their underlying relationships down to something interpretable remains challenging. One approach is genetic programming, which `symbolically regresses' a data set down into an eq…
Evolutionary AlgorithmsFormregressionSymbolic RegressionA Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation
Decomposition-based multi-objective evolutionary algorithms (MOEAs) are widely used for solving multi-objective optimisation problems. However, their effectiveness depends on the consistency between the problems Pareto f…
Evolutionary AlgorithmsReward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
To fully leverage the capabilities of diffusion models, we are often interested in optimizing downstream reward functions during inference. While numerous algorithms for reward-guided generation have been recently propos…
DenoisingEvolutionary AlgorithmsEvolutionary Algorithms Approach For Search Based On Semantic Document Similarity
Advancements in cloud computing and distributed computing have fostered research activities in Computer science. As a result, researchers have made significant progress in Neural Networks, Evolutionary Computing Algorith…
Cloud ComputingDistributed ComputingEvolutionary AlgorithmsSemantic Similarity+5