One-to-one ensemble mechanism for decomposition-based multi-Objective optimization
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
One-to-one ensemble mechanism for decomposition-based multi-Objective optimization
Authors
Keywords
Multi-objective optimization, Evolutionary algorithm, Ensemble mechanism, Complicated Pareto set
Journal
Swarm and Evolutionary Computation
Volume 68, Issue -, Pages 101007
Publisher
Elsevier BV
Online
2021-11-01
DOI
10.1016/j.swevo.2021.101007
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Solving Periodic Investment Portfolio Selection Problems by a Data-Assisted Multiobjective Evolutionary Approach
- (2021) Jian Xiong et al. IEEE Transactions on Cybernetics
- A multi-objective evolutionary approach for planning and optimal condition restoration of secondary distribution networks
- (2020) J.P. Avilés et al. APPLIED SOFT COMPUTING
- An improved MOEA/D algorithm with an adaptive evolutionary strategy
- (2020) Wen-xiang Wang et al. INFORMATION SCIENCES
- A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies
- (2020) Yingbo Xie et al. INFORMATION SCIENCES
- Decomposition-Based Multiobjective Optimization with Bicriteria Assisted Adaptive Operator Selection
- (2020) Wu Lin et al. Swarm and Evolutionary Computation
- Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization
- (2020) Man-Fai Leung et al. IEEE Transactions on Neural Networks and Learning Systems
- MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
- (2019) Fatemeh Aghaeipoor et al. INFORMATION SCIENCES
- A novel multi-objective evolutionary algorithm with dynamic decomposition strategy
- (2019) Songbai Liu et al. Swarm and Evolutionary Computation
- Multi-objective evolutionary algorithm with prediction in the objective space
- (2019) Elaine Guerrero-Peña et al. INFORMATION SCIENCES
- Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
- (2019) Cheng He et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- AdaBoost-inspired multi-operator ensemble strategy for multi-objective evolutionary algorithms
- (2019) Chao Wang et al. NEUROCOMPUTING
- Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems
- (2019) Huangke Chen et al. IEEE Transactions on Cybernetics
- A hybrid multi-objective evolutionary algorithm with feedback mechanism
- (2018) Chao Lu et al. APPLIED INTELLIGENCE
- Localized Weighted Sum Method for Many-Objective Optimization
- (2018) Rui Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- On Scalable Multiobjective Test Problems with Hardly-dominated Boundaries
- (2018) Zhenkun Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems
- (2018) Hai-Lin Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multi-clustering via evolutionary multi-objective optimization
- (2018) Rui Wang et al. INFORMATION SCIENCES
- An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies
- (2018) Qiuzhen Lin et al. INFORMATION SCIENCES
- A Collaborative Neurodynamic Approach to Multiobjective Optimization
- (2018) Man-Fai Leung et al. IEEE Transactions on Neural Networks and Learning Systems
- Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution
- (2018) Wenyin Gong et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A hybrid multi-objective evolutionary optimization approach for the robust vehicle routing problem
- (2018) Hiba Bederina et al. APPLIED SOFT COMPUTING
- A Generator for Multiobjective Test Problems with Difficult-to-Approximate Pareto Front Boundaries
- (2018) Zhenkun Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment
- (2018) Huangke Chen et al. IEEE Transactions on Services Computing
- A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME
- (2018) Alejandro Santiago et al. INFORMATION SCIENCES
- Behavior of crossover operators in NSGA-III for large-scale optimization problems
- (2018) Jiao-Hong Yi et al. INFORMATION SCIENCES
- Objective extraction via fuzzy clustering in evolutionary many-objective optimization
- (2018) Aimin Zhou et al. INFORMATION SCIENCES
- Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
- (2018) Huangke Chen et al. INFORMATION SCIENCES
- An Effective Ensemble Framework for Multiobjective Optimization
- (2018) Wenjun Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection
- (2017) Nozomi Hitomi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Biased Multiobjective Optimization and Decomposition Algorithm
- (2017) Hui Li et al. IEEE Transactions on Cybernetics
- Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms
- (2016) Aimin Zhou et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm
- (2016) Qiuzhen Lin et al. INFORMATION SCIENCES
- Adaptive Replacement Strategies for MOEA/D
- (2016) Zhenkun Wang et al. IEEE Transactions on Cybernetics
- Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem
- (2015) Anupam Trivedi et al. IEEE Transactions on Industrial Informatics
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- (2013) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems
- (2013) Hai-Lin Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
- (2013) Ke Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective evolutionary algorithms: A survey of the state of the art
- (2011) Aimin Zhou et al. Swarm and Evolutionary Computation
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started