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A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

https://doi.org/10.1109/tevc.2020.2978158
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MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem
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Integrating user preferences and decomposition methods for many-objective optimization
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Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization
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On the use of random weights in MOEA/D
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Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition
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General tuning of weights in MOEA/D
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A two-phase many-objective evolutionary algorithm with penalty based adjustment for reference lines
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Solving the uncertain multi-objective multi-stage weapon target assignment problem via MOEA/D-AWA
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Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors
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Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation
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Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts
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Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems
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MOEA/D with Adaptive Weight Vector Design
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T-MOEA/D: MOEA/D with Objective Transform in Multi-objective Problems
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Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems
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Adaptive weight vector assignment method for MOEA/D
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Interrelationship-Based Selection for Decomposition Multiobjective Optimization
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An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors
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A Decomposition-Based Many-Objective Evolutionary Algorithm With Two Types of Adjustments for Direction Vectors
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MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition
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A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts
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Integration of Preferences in Decomposition Multiobjective Optimization
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Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
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Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods
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Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes
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A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization
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Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm
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On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization
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Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems
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R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points
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An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility
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Evolutionary Many-Objective Optimization Based on Dynamical Decomposition
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Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization
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A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning
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Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization
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Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts
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Multi-objective test problems, linkages, and evolutionary methodologies
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Interactive MOEA/D for multi-objective decision making
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On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm
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Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization
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Incorporating User Preferences in MOEA/D through the Coevolution of Weights
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Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression
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MOEA/D with uniformly randomly adaptive weights
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Generation techniques and a novel on-line adaptation strategy for weight vectors within decomposition-based MOEAs
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An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing
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MOEA/D with Adaptive Weight Adjustment
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What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation
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Nonlinear Multiobjective Optimization
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Adaptive Weighted Aggregation with Step Size Control Weight Adaptation for Multiobjective Continuous Function Optimization

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-objective optimization of continuous monitoring scheduling for moving targets by earth observation satellites
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Multi-objective weighted average algorithm: a novel algorithm for multi-objective optimization problems and its application in engineering problems
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Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition
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An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization
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MaOEA/D with adaptive external population guided weight vector adjustment
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Pareto Front Improvements Phase using linkage learning and mating restrictions for solving multi-objective industrial process planning problems with low-sized pareto fronts
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Revisiting generative evolutionary framework: Towards divergence-guided Pareto-optimal dual-objective compression in cloud encrypted key-value stores
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Multi-objective evolutionary optimization based on online perceiving Pareto front characteristics
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Large-scale multiobjective optimization with adaptive competitive swarm optimizer and inverse modeling
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A chaotic differential evolution and symmetric direction sampling for large-scale multiobjective optimization
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High-dimensional interactive adaptive RVEA for multi-objective optimization of polyester polymerization process
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BiOM: A framework for multimodal multiobjective optimization
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Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
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A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization
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A C α -dominance-based solution estimation evolutionary algorithm for many-objective optimization
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An efficient decomposition based multiobjective evolutionary algorithm with clustering covariance matrix adaptation
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Multi-objective optimization and improvement of multi-energy combined cooling, heating and power system based on system simplification
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Comprehensive optimization of combined cooling, heating, and power hybrid renewable multienergy system based on enhanced implementation feasibility
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Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms
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Assistant reference point guided evolutionary algorithm for many-objective fuzzy portfolio selection
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Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights
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A twin-archive guided decomposition based multi/many-objective evolutionary algorithm
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A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization
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Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems
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A two-stage adaptive reference direction guided evolutionary algorithm with modified dominance relation for many-objective optimization
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Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts
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Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms
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On the adaptation of reference sets using niching and pair-potential energy functions for multi-objective optimization
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A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization
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Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts
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A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts
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A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation
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Population decomposition evolutionary framework for constrained multiobjective optimization
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A surrogate-assisted evolutionary algorithm with multi-perspective infill sampling for expensive super-many-objective optimization problems
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Dynamic auxiliary reference vector-based many-objective evolutionary algorithm with adaptive multi-population collaboration
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An imitation-based framework for large-scale sparse multi-objective optimization
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A novel multi-objective evolutionary algorithm for transit network design and frequency-setting problem considering passengers’ choice behaviors under station congestion
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MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front
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Two reference vector sets based evolutionary algorithm for many‐objective optimization
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A global optima search field division method for evolutionary algorithms
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A many-objective evolutionary algorithm based on learning assessment and mapping guidance of historical superior information
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A Two-Stage Adjustment Strategy for Space Division Based Many-Objective Evolutionary Optimization
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An Inhomogeneous Grid-Based Evolutionary Algorithm for Many-Objective Optimization
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A Survey of Decomposition Based Evolutionary Algorithms for Many-Objective Optimization Problems
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A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes
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Biobjective Optimization Problems in a Simplified Model of Boost Converter with Photovoltaic Input
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A Multi-objective Evolutionary Algorithm for Formation Structure Optimization of Unmanned Aerial Vehicles Performing Search Task
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A Multi-objective Evolutionary Algorithm Based on Cone Heart Point Adjustment Vectors to Solve Concave-convex Problems
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Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA
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Multiparty Multiobjective Optimization By MOEA/D
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Multi-Agent Collaborative Search with Adaptive Heuristics and Weight Vectors for Aerospace Multi-objective Optimal Control Problems
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Deep Reinforcement Learning Using Graph Conv-LSTM for Solving Multi-Objective Combinatorial Optimization Problems
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Parallel Dual Broad Learning Surrogate Assisted Semi-supervised Kernel Multi-objective Evolutionary Rough Fuzzy Clustering Algorithm for Image Segmentation
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A Multi-population Evolutionary Algorithm for Multi-scenario Multi-objective Optimization Problems
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Pareto-Based Dimensionality Reduction of Parameters in DC/DC Converters
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Biobjective Optimization Problems and Stabilization of Switching Power Converters
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An Approach to Multiobjective Optimization Problems in Paralleled Boost Converters
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A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts
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A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization
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Multiobjective Optimization Using Age-MOEA-II with Improved Environmental Selection
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Context-aware Artificial Internet-of-Things Application Deployment in Edge-Cloud Systems
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Biobjective Optimization Problems in Simple Neural Networks as Binary Associative Memories
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Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization
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An Approach Toward Multiobjective Optimization Problems in Hysteresis Neural Networks
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Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization
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A Novel Particle Swarm Optimization Algorithm With Adaptive Parameter Tuning
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Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems
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Enhanced Multifactorial Evolutionary Algorithm With Meme Helper-Tasks
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Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System
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Adapting Decomposed Directions for Evolutionary Multiobjective Optimization
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Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition
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Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach
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Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model
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CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations
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Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction
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Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge
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A Survey on Knee-Oriented Multiobjective Evolutionary Optimization
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A Survey on Evolutionary Constrained Multiobjective Optimization
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Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization
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A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm
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Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms
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An Adaptive Reference Vector-Based Interval Multiobjective Evolutionary Algorithm
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Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods
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A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations
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Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization
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Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization
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A Survey of Multiobjective Evolutionary Algorithm Based on Decomposition: Past and Future
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Dealing With Structure Constraints in Evolutionary Pareto Set Learning
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Downlink Scheduler for Delay Guaranteed Services Using Deep Reinforcement Learning
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Non-Orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach
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Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
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Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization
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A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms
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R-MDDQN: A V2V-Based Secure Computation Offloading Algorithm for Video Analytics in Vehicle Edge Networks
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Multi-Objective Optimization-Based Waveform Design for Multi-User and Multi-Target MIMO-ISAC Systems
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Multi agent collaborative search algorithm with adaptive weights
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Studying Multiobjective Optimization Problems in Nonlinear Dynamical Systems
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Incremental lattice design of weight vector set
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Robust Multi-objective Optimization based on the idea of multi-tasking and knowledge transfer
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High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors
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Evolutionary Surrogate-Assisted Multiobjective Optimization Over High-Dimensional Search Spaces: A Comparative Study
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Performance Appraisal Management System of University Administrators Based on Hybrid Cloud
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A hybrid machine learning framework for predicting aircraft scaled sound pressure levels: a comparative study
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Robust Methodology in Evaluating and Optimizing the Performance of Decision Making Units: Empirical Financial Evidence
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Dimensionality reduction of parameters in a boost converter with PV input
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A Trade-Off between Memory Stability and Connection Sparsity in Simple Binary Associative Memories
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FixedSum: An improved algorithm for generation of weight vectors for decomposition-based multiobjective optimization
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Improving Many-Objective Optimization via An Adaptive Penalty Scheme and Jaya Operator in the MJaya/D Algorithm
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Updating Weight Vectors Using Subset Selection from an Unbounded External Archive for Evolutionary Multi-Objective Optimization
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Multi-Objective Evolutionary Algorithm Based on Two Reference Points Decomposition and Historical Information Prediction
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An Empirical View of Genetic Machine Learning based on Evolutionary Learning Computations
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MOEA-SISA: Multiobjective Optimization to Improve Model Performance During Forgetting Data
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A Surrogate-Assisted Multi-Objective Evolutionary Algorithm with Discontinuity-Inducing Variables
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A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts
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Two-stage sparse multi-objective evolutionary algorithm for channel selection optimization in BCIs
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Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems
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RFSCMOEA: A Dual-Population Cooperative Evolutionary Algorithm with Relaxed Feasibility Selection
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Handling Irregular Many-Objective Optimization Problems via Performing Local Searches on External Archives
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M-E-AWA: A Novel Task Scheduling Approach Based on Weight Vector Adaptive Updating for Fog Computing
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A Multiobjective Optimization Approach for Multiobjective Hybrid Flowshop Green Scheduling with Consistent Sublots
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A variety of globally stable periodic orbits in permutation binary neural networks
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A Multiobjective State Transition Algorithm Based on Decomposition
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