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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
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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