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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 51–75 of 155 papers

TitleStatusHype
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems—0
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
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem—0
Neural Optimization Machine: A Neural Network Approach for Optimization—0
Evolutionary Multiparty Distance MinimizationCode0
Towards Fairness-Aware Multi-Objective Optimization—0
Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment methodCode0
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures—0
Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem—0
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization—0
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning—0
Modeling the Material-Inventory Transportation Problem Using Multi-Objective Optimization—0
An Effective and Efficient Evolutionary Algorithm for Many-Objective Optimization—0
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism—0
Nondominated-Solution-based Multi-objective Greedy Sensor Selection for Optimal Design of Experiments—0
D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing—0
Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search—0
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems—0
Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks—0
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