Nabi Omidvar - University of Leeds
Nabi Omidvar - University of Leeds
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Xiaodong Li
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Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems
Decomposition for Large-scale Optimization Problems with Overlapping Components
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition
DG2: A faster and more accurate differential grouping for large-scale black-box optimization
Evolutionary large-scale global optimization: an introduction
A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization
CBCC3—A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance
Efficient resource allocation in cooperative co-evolution for large-scale global optimization
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms
Designing benchmark problems for large-scale continuous optimization
Sensitivity analysis of penalty-based boundary intersection on aggregation-based EMO algorithms
A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization
Cooperative co-evolution with differential grouping for large scale optimization
Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms
Integrating user preferences and decomposition methods for many-objective optimization
A new performance metric for user-preference based multi-objective evolutionary algorithms
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization
Reference point based multi-objective optimization through decomposition
Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms
A comparative study of CMA-ES on large scale global optimisation
Cooperative co-evolution for large scale optimization through more frequent random grouping
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