What’s Hot in Evolutionary Computation
Authors: Tobias Friedrich, Frank Neumann
AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We provide a brief overview on some hot topics in the area of evolutionary computation. Our main focus is on recent developments in the areas of combinatorial optimization and real-world applications. Furthermore, we highlight recent progress on the theoretical understanding of evolutionary computing methods. |
| Researcher Affiliation | Academia | 1Hasso Plattner Institute, Potsdam, Germany 2Optimisation and Logistics, The University of Adelaide, Adelaide, Australia |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | This paper is a survey and does not present its own novel methodology for which source code would be provided. |
| Open Datasets | No | The paper refers to existing 'benchmark test cases' and 'benchmark set' from other works but does not provide concrete access information (links, DOIs, formal citations) for any datasets used by this paper's own (non-existent) experiments. |
| Dataset Splits | No | The paper is a survey and does not describe its own experimental setup, therefore it does not provide dataset split information. |
| Hardware Specification | No | The paper is a survey and does not describe its own experimental setup, therefore it does not provide hardware specifications. |
| Software Dependencies | No | The paper is a survey and does not describe its own experimental setup, therefore it does not provide software dependency details with version numbers. |
| Experiment Setup | No | The paper is a survey and does not describe its own experimental setup, therefore it does not provide specific experimental setup details like hyperparameters or training configurations. |