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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
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via TensorizationCode7
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization ApproachCode7
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEACode3
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorchCode2
SustainDC: Benchmarking for Sustainable Data Center ControlCode2
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Large Language Model for Multi-objective Evolutionary OptimizationCode1
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsCode1
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentCode1
DOCKSTRING: easy molecular docking yields better benchmarks for ligand designCode1
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfortCode1
Learning the Pareto Front with HypernetworksCode1
Efficient Continuous Pareto Exploration in Multi-Task LearningCode1
Max-value Entropy Search for Multi-Objective Bayesian OptimizationCode1
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without RetrainingCode1
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Runtime Analysis of Evolutionary Algorithms for Multiparty Multiobjective Optimization—0
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization—0
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems—0
Non-Dominated Sorting Bidirectional Differential Coevolution—0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Power-Efficient Full-Duplex Satellite Communications Aided by Movable Antennas—0
Prescribed-time Convergent Distributed Multiobjective Optimization with Dynamic Event-triggered Communication—0
Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II—0
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching—0
AI-Assisted Detector Design for the EIC (AID(2)E)—0
An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems—0
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization—0
Common pitfalls to avoid while using multiobjective optimization in machine learning—0
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables—0
Development of a machine learning-based design optimization method for crashworthiness analysisCode0
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify—0
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
Effective anytime algorithm for multiobjective combinatorial optimization problems—0
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling—0
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization—0
Optimization-based motion primitive automata for autonomous driving—0
Explainable Bayesian OptimizationCode0
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations—0
Bayesian Inverse Transfer in Evolutionary Multiobjective OptimizationCode0
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem—0
Dealing with Structure Constraints in Evolutionary Pareto Set Learning—0
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data—0
A multiobjective continuation method to compute the regularization path of deep neural networksCode0
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