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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

Showing 131140 of 155 papers

TitleStatusHype
Power-Efficient Full-Duplex Satellite Communications Aided by Movable Antennas0
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data0
Prescribed-time Convergent Distributed Multiobjective Optimization with Dynamic Event-triggered Communication0
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization0
Explainable Bayesian OptimizationCode0
Multiobjective Optimization Training of PLDA for Speaker VerificationCode0
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next stepsCode0
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological GuidanceCode0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural ArchitecturesCode0
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