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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
Discovering Evolutionary Stepping Stones through Behavior Domination—0
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective—0
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization—0
Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets—0
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning—0
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator—0
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization—0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
A Pareto Front-Based Multiobjective Path Planning Algorithm—0
Interpretable Apprenticeship Learning with Temporal Logic Specifications—0
Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization—0
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization—0
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization—0
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights and Algorithms—0
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search—0
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach—0
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering—0
Dealing with Structure Constraints in Evolutionary Pareto Set Learning—0
Heterogeneous Objectives: State-of-the-Art and Future Research—0
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures—0
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results—0
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