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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 26–50 of 155 papers

TitleStatusHype
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
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Large Language Model for Multi-objective Evolutionary OptimizationCode1
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
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
Optimizing fairness tradeoffs in machine learning with multiobjective meta-modelsCode1
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next stepsCode0
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach—0
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
The Hybridization of Branch and Bound with Metaheuristics for Nonconvex Multiobjective Optimization—0
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and SparsityCode0
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