Balancing convergence and diversity in resource allocation strategy for decomposition-based multi-objective evolutionary algorithm
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Balancing convergence and diversity in resource allocation strategy for decomposition-based multi-objective evolutionary algorithm
Authors
Keywords
Accumulated escape probability, Subproblem evolvability, Dynamic resource allocation, Multi-objective evolutionary
Journal
APPLIED SOFT COMPUTING
Volume 100, Issue -, Pages 106968
Publisher
Elsevier BV
Online
2020-12-02
DOI
10.1016/j.asoc.2020.106968
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
- (2019) Hui Li et al. Swarm and Evolutionary Computation
- Pixel-Level Discrete Multiobjective Sampling for Image Matting
- (2019) Han Huang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems
- (2018) Jiao-Hong Yi et al. Future Generation Computer Systems-The International Journal of eScience
- A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data
- (2018) Xiangming Jiang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
- (2018) Jia Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- A Collaborative Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithms
- (2018) Qi Kang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service
- (2018) Zhen Yang et al. IEEE Transactions on Cybernetics
- A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
- (2018) Chao Lu et al. APPLIED SOFT COMPUTING
- An efficient multi-objective model and algorithm for sizing a stand-alone hybrid renewable energy system
- (2017) Rui Wang et al. ENERGY
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- Biased Multiobjective Optimization and Decomposition Algorithm
- (2017) Hui Li et al. IEEE Transactions on Cybernetics
- A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm
- (2017) Qiuzhen Lin 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
- Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers
- (2016) Yuan Yuan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts
- (2016) Shouyong Jiang et al. IEEE Transactions on Cybernetics
- An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization
- (2015) Xinye Cai et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
- (2014) Ke Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
- (2014) Siwei Jiang et al. IEEE Transactions on Cybernetics
- MOEA/D with Adaptive Weight Adjustment
- (2013) Yutao Qi et al. 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
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
- (2013) Himanshu Jain et al. IEEE TRANSACTIONS ON 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