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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 126–150 of 155 papers

TitleStatusHype
An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy—0
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization—0
A Pareto Front-Based Multiobjective Path Planning Algorithm—0
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning—0
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems—0
A portfolio approach to massively parallel Bayesian optimization—0
Application of Particle Swarm Optimization to Microwave Tapered Microstrip Lines—0
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables—0
A preliminary survey on optimized multiobjective metaheuristic methods for data clustering using evolutionary approaches—0
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach—0
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem—0
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
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism—0
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization—0
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator—0
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
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