COCO (COmparing Continuous Optimisers) is a platform for systematic and sound comparisons of real-parameter global optimisers. COCO provides benchmark function testbeds, experimentation templates which are easy to parallelize, and tools for processing and visualizing data generated by one or several optimizers.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Xiang, Yi; Peng, Yuming; Zhong, Yubin; Chen, Zhenyu; Lu, Xuwen; Zhong, Xuejun: A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization (2014)
- Ahrari, Ali: A requirement for the mutation operator in continuous optimization (2013)
- Korošec, Peter; Šilc, Jurij: The continuous differential ant-stigmergy algorithm for numerical optimization (2013)