Matches in DBpedia 2016-04 for { ?s ?p "In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution.Evolutionary multimodal optimization is a branch of Evolutionary computation, which is closely related to Machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail."@en }
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- Evolutionary_multimodal_optimization abstract "In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution.Evolutionary multimodal optimization is a branch of Evolutionary computation, which is closely related to Machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail.".
- Q5418713 abstract "In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution.Evolutionary multimodal optimization is a branch of Evolutionary computation, which is closely related to Machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail.".
- Evolutionary_multimodal_optimization comment "In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution.Evolutionary multimodal optimization is a branch of Evolutionary computation, which is closely related to Machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail.".
- Q5418713 comment "In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution.Evolutionary multimodal optimization is a branch of Evolutionary computation, which is closely related to Machine learning. Wong provides a short survey, wherein the chapter of Shir and the book of Preuss cover the topic in more detail.".