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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
A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem—0
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms—0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
Effective anytime algorithm for multiobjective combinatorial optimization problems—0
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables—0
Application of Particle Swarm Optimization to Microwave Tapered Microstrip Lines—0
An Analysis of Phenotypic Diversity in Multi-Solution Optimization—0
Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective—0
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems—0
A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces—0
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization—0
A portfolio approach to massively parallel Bayesian optimization—0
Common pitfalls to avoid while using multiobjective optimization in machine learning—0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Controllable Pareto Multi-Task Learning—0
D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing—0
Deep Innovation Protection—0
A preliminary survey on optimized multiobjective metaheuristic methods for data clustering using evolutionary approaches—0
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling—0
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization—0
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