Table 2.
Improving SSA with strategic methods
| Refs | Models | Strategy | Results | Global convergence | Exploration vs exploitation | Complexity |
|---|---|---|---|---|---|---|
| [69] | EEMD-Tent-SSA-LS-SVM | Tent chaotic mapping, t-distribution | Wind power prediction | Moderate | Tuning dependent | Moderate |
| [70] | Mixed Strategy SSA (MSSSA) | Non-linear adjustment, random distribution | Increase positioning accuracy | Slow | Moderate | High |
| [71] | ISSA-gradient boosting regression tree technique (ISSA-GBRT) | gradient boosting regression tree, t-distribution | Optimization issues in the engineering industry | Tuning dependent | Tuning dependent | Moderate |
| [72] | ISSA | Neighborhood search strategy | Path planning approach for mobile robots | Slow | Less diverse solutions | Moderate |
| [73] | ESSA-DELM | Trigonometric substitution strategy and Cauchy mutation | Optimization of engineering and continuous issues | Fast | Good | Moderate |
| [74] | ISSA | Mutation, random distribution | Optimal reactive power dispatch and distributed generation placement | Slow | Less diverse solutions | High |
| [75] | ISSA | Position updating strategy | Solve engineering and dynamic problems | Fast | Tuning dependent | Moderate |
| [76] | LLSSA | Inverse learning strategy, spiral search strategy | Optimization of engineering and continuous issues | Slow | Good | Low |
| [77] | ISSA | Iterative local search strategy, a greedy strategy | Optimization of engineering and continuous issues | Fast | Tuning dependent | High |
| [78] | IMSSA | Position updating strategy | Sequential quadratic programming for solving the cost minimization | Tuning dependent | Moderate | Moderate |
| [79] | SSACBR | t-distribution mutation operator, memetic algorithm, Case-based reasoning | Prediction of statistical data | Tuning dependent | Good | Low |
| [80] | EMSSA | Hazard-aware transferring strategy, dynamic evolutionary strategy, uniformity-diversification orientation strategy | Continuous optimization problems | Slow | Less diverse solutions | Moderate |
| [81] | adaptive spiral flying SSA (ASFSSA) | Variable spiral search strategy | Optimization of engineering and continuous issues | Tuning dependent | Tuning dependent | Moderate |
| [82] | ISSA | Position updating strategy | Optimization of engineering and continuous issues | Moderate | Tuning dependent | Low |
| [83] | ISSA | Mutation, random distribution | Water quality prediction | Slow | Tuning dependent | Moderate |