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A Novel Preference-Driven Dynamic Multi-Objective Evolutionary Algorithm for Solving Dynamic Multi-Objective Problems

https://doi.org/10.2139/ssrn.4775939
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Hybrid of memory and prediction strategies for dynamic multiobjective optimization
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Reformulating preferences into constraints for evolutionary multi- and many-objective optimization
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InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms
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Key challenges and future directions of dynamic multi-objective optimisation
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Design and Development of a Benchmark for Dynamic Multi-objective Optimisation Problem in the Context of Deep Reinforcement Learning
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Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems
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A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning
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Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process
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Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
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An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility
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Integrating Weight Assignment Strategies With NSGA-II for Supporting User Preference Multiobjective Optimization
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Novel Prediction Strategies for Dynamic Multiobjective Optimization
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ADAPTIVE MULTI‐OBJECTIVE OPTIMIZATION BASED ON NONDOMINATED SOLUTIONS
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Evolutionary Dynamic Multi-objective Optimisation: A Survey
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