Mohammad Nabi Omidvar | Nabi Omidvar

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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
Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers
Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach
Using semi-independent variables to enhance optimization search
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition
Changing or keeping solutions in dynamic optimization problems with switching costs
Solving Incremental Optimization Problems via Cooperative Coevolution
DG2: A faster and more accurate differential grouping for large-scale black-box optimization
Evolutionary large-scale global optimization: an introduction
Knowledge-based particle swarm optimization for PID controller tuning
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
Variable interaction in multi-objective optimization problems
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms
Designing benchmark problems for large-scale continuous optimization
IDG: A faster and more accurate differential grouping algorithm
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
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