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Evolution strategy (ES) from computer science is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic operators mutation, recombination and selection of parents.
History, Standards & Science
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mutation displaystyle evolution step es optimization schwefel strategies lambda evolutionary selection variants isbn decision variables generation sizes next parent strategy
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| scheduling | instance of | in many combinatorial applications | 0.80 | text |
| where appropriately modified variants of evolutionary strategies are used | instance of | in many combinatorial applications | 0.80 | text |
| Evolution strategy | related to history | The | 0.60 | section |
| Evolution strategy | related to history | Ingo Rechenberg | 0.60 | section |
| Evolution strategy | related to history | Hans-Paul Schwefel | 0.60 | section |
| Evolution strategy | see also | Covariance | 0.60 | section |
| Evolution strategy | see also | CMA-ES | 0.60 | section |
| Evolution strategy | see also | Derivative-free | 0.60 | section |
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