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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
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without RetrainingCode1
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentCode1
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsCode1
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
Learning the Pareto Front with HypernetworksCode1
DOCKSTRING: easy molecular docking yields better benchmarks for ligand designCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfortCode1
Efficient Continuous Pareto Exploration in Multi-Task LearningCode1
Large Language Model for Multi-objective Evolutionary OptimizationCode1
Max-value Entropy Search for Multi-Objective Bayesian OptimizationCode1
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—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
An Effective and Efficient Evolutionary Algorithm for Many-Objective Optimization—0
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach—0
An Assignment Problem Formulation for Dominance Move Indicator—0
AI-Assisted Detector Design for the EIC (AID(2)E)—0
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem—0
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem—0
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms—0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
Effective anytime algorithm for multiobjective combinatorial optimization problems—0
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables—0
Application of Particle Swarm Optimization to Microwave Tapered Microstrip Lines—0
An Analysis of Phenotypic Diversity in Multi-Solution Optimization—0
Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective—0
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems—0
A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces—0
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization—0
A portfolio approach to massively parallel Bayesian optimization—0
Common pitfalls to avoid while using multiobjective optimization in machine learning—0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Controllable Pareto Multi-Task Learning—0
D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing—0
Deep Innovation Protection—0
A preliminary survey on optimized multiobjective metaheuristic methods for data clustering using evolutionary approaches—0
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling—0
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization—0
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