SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 155 papers

TitleStatusHype
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem—0
Neural Optimization Machine: A Neural Network Approach for Optimization—0
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentCode1
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
DOCKSTRING: easy molecular docking yields better benchmarks for ligand designCode1
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy—0
A portfolio approach to massively parallel Bayesian optimization—0
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve OptimizationCode0
Using Traceless Genetic Programming for Solving Multiobjective Optimization ProblemsCode0
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey—0
QoS-aware Big Service Composition using Distributed Co-Evolutionary AlgorithmCode0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective—0
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization—0
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications—0
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization—0
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order—0
Two novel feature selection algorithms based on crowding distance—0
An Analysis of Phenotypic Diversity in Multi-Solution Optimization—0
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
Heterogeneous Objectives: State-of-the-Art and Future Research—0
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization—0
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfortCode1
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search SpacesCode0
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks—0
Using BART to Perform Pareto Optimization and Quantify its Uncertainties—0
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation—0
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives—0
Kinetics-Informed Neural Networks—0
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization—0
Controllable Pareto Multi-Task Learning—0
Inverse Multiobjective Optimization Through Online Learning—0
Learning the Pareto Front with HypernetworksCode1
Wasserstein Distributionally Robust Inverse Multiobjective Optimization—0
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning ApproachCode0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.