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Multiobjective Optimization
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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.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
Runtime Analysis of Evolutionary Algorithms for Multiparty Multiobjective Optimization
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems
Non-Dominated Sorting Bidirectional Differential Coevolution
Comparative Analysis of Indicators for Multiobjective Diversity Optimization
Principal Orthogonal Latent Components Analysis (POLCA Net)
Power-Efficient Full-Duplex Satellite Communications Aided by Movable Antennas
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
Prescribed-time Convergent Distributed Multiobjective Optimization with Dynamic Event-triggered Communication
SustainDC: Benchmarking for Sustainable Data Center Control
Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching
AI-Assisted Detector Design for the EIC (AID(2)E)
An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
Common pitfalls to avoid while using multiobjective optimization in machine learning
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
Effective anytime algorithm for multiobjective combinatorial optimization problems
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
Optimization-based motion primitive automata for autonomous driving
Explainable Bayesian Optimization
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem
Dealing with Structure Constraints in Evolutionary Pareto Set Learning
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
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