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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 91–100 of 155 papers

TitleStatusHype
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites—0
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order—0
Heterogeneous Objectives: State-of-the-Art and Future Research—0
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs—0
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search—0
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering—0
Inferring Parameters Through Inverse Multiobjective Optimization—0
Interpretable Apprenticeship Learning with Temporal Logic Specifications—0
Inverse Multiobjective Optimization Through Online Learning—0
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