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Multiobjective Optimization

Multi-objective optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective optimization has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives. Minimizing cost while maximizing comfort while buying a car, and maximizing performance whilst minimizing fuel consumption and emission of pollutants of a vehicle are examples of multi-objective optimization problems involving two and three objectives, respectively. In practical problems, there can be more than three objectives.

Papers

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Showing 1–50 of 155 papers

TitleStatusHype
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization ApproachCode7
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via TensorizationCode7
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEACode3
SustainDC: Benchmarking for Sustainable Data Center ControlCode2
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorchCode2
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Max-value Entropy Search for Multi-Objective Bayesian OptimizationCode1
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsCode1
Learning the Pareto Front with HypernetworksCode1
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentCode1
DOCKSTRING: easy molecular docking yields better benchmarks for ligand designCode1
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfortCode1
Large Language Model for Multi-objective Evolutionary OptimizationCode1
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without RetrainingCode1
Efficient Continuous Pareto Exploration in Multi-Task LearningCode1
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural ArchitecturesCode0
Development of a machine learning-based design optimization method for crashworthiness analysisCode0
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next stepsCode0
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and SparsityCode0
Pareto Multi-Task LearningCode0
Multiobjective Optimization Training of PLDA for Speaker VerificationCode0
Pareto-optimal data compression for binary classification tasksCode0
Using Traceless Genetic Programming for Solving Multiobjective Optimization ProblemsCode0
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box SettingCode0
A Grid-Based Evolutionary Algorithm for Many-Objective OptimizationCode0
Bayesian Inverse Transfer in Evolutionary Multiobjective OptimizationCode0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Explainable Bayesian OptimizationCode0
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search SpacesCode0
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve OptimizationCode0
A multiobjective continuation method to compute the regularization path of deep neural networksCode0
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning ApproachCode0
Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment methodCode0
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological GuidanceCode0
QoS-aware Big Service Composition using Distributed Co-Evolutionary AlgorithmCode0
Evolutionary Multiparty Distance MinimizationCode0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization—0
An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems—0
Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks—0
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem—0
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem—0
An Effective and Efficient Evolutionary Algorithm for Many-Objective Optimization—0
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling—0
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach—0
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