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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
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
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