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| Optimized Electric Machine Design Solutions with Efficient Handling of Constraints. | 0 | 0.34 | 2021 |
| Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. | 0 | 0.34 | 2021 |
| Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times - Expensive Objectives and Inexpensive Constraints. | 1 | 0.35 | 2021 |
| Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. | 0 | 0.34 | 2021 |
| Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. | 0 | 0.34 | 2021 |
| Towards Multi-objective Co-evolutionary Problem Solving. | 0 | 0.34 | 2021 |
| Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. | 0 | 0.34 | 2021 |
| The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. | 0 | 0.34 | 2021 |
| Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm | 1 | 0.45 | 1999 |
| Optimizing Engineering Designs Using a Combined Genetic Search | 15 | 1.17 | 1997 |
| Car Suspension Design for Comfort Using Genetic Algorithm | 3 | 1.61 | 1997 |
| Simulated Binary Crossover for Continuous Search Space | 695 | 70.40 | 1995 |
| Multimodal Deceptive Functions. | 0 | 0.34 | 1993 |
| RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms | 86 | 10.64 | 1993 |
| Accounting For Noise In The Sizing Of Populations | 12 | 2.62 | 1992 |
| Genetic Algorithms, Noise, and the Sizing of Populations. | 11 | 3.77 | 1992 |
| Massive Multimodality, Deception, And Genetic Algorithms | 128 | 32.55 | 1992 |
| Ordering Genetic Algorithms And Deception | 17 | 11.70 | 1992 |
| Don't Worry, Be Messy | 60 | 11.33 | 1991 |
| Complex Systems: Errata and Changes Volumes 3 and 4. | 0 | 0.34 | 1991 |
| A Comparative Analysis of Selection Schemes Used in Genetic Algorithms | 692 | 94.40 | 1990 |
