
| Computational Intelligence (CI)  Approaches                                   | References   | No. of   |
|-------------------------------------------------------------------------------|--------------|----------|
| References                                                                    |              |          |
| Environment Science and Technology                                            | [31]         | 1        |
| Fuzzy Sets and Systems                                                        | [9]          | 1        |
| IEEE Transactions on Electronics Packaging  Manufacturing                     | [10]         | 1        |
| International Journal of Advanced  Manufacturing Technology                   | [6]          | 1        |
| International Journal of Environment  Science and Technology                  | [13]         | 1        |
| International Journal of Management and  Decision Making                      | [12]         | 1        |
| International Journal of Production  Economics                                | [17], [25]   | 2        |
| International Journal of Production Research                                  | [19], [29]   | 2        |
| Journal of Global Optimization                                                | [34]         | 1        |
| Omega                                                                         | [5], [24]    | 2        |
| Resources, Conservation and Recycling                                         | [22], [38]   | 2        |
| Systems Engineering - Theory & Practice                                       | [33]         | 1        |
| Transportation Research, Part E                                               | [26], [27]   | 2        |
| Transportation Research, Part D                                               | [35]         | 1        |
| Transportation Research Record: Journal of  the Transportation Research Board | [14]         | 1        |
| The impetus of RSCM research has come from many                               |              |          |

The impetus of RSCM research has come from many aspects, e.g., the recognition of the deleterious effects on the environment of dumping such as electronic wastes, the decreasing capacity of landfills, the compliance with current and forthcoming environmental legislation, and marketdriven reasons as well. In this paper, we review various AI 
methods that have been applied to RSCM. In the future, the developed and developing methods and algorithms should be tested with more practical case studies so as to speed up the implementation progress of RSC. 

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