Evolutionary multimodal optimization

Part of a series on the
Evolutionary algorithm
Genetic algorithm
Genetic programming

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,[1] wherein the chapter of Shir[2] and the book of Preuss[3] cover the topic in more detail.

  1. ^ Wong, K. C. (2015), Evolutionary Multimodal Optimization: A Short Survey arXiv preprint arXiv:1508.00457
  2. ^ Shir, O.M. (2012), Niching in Evolutionary Algorithms Archived 2016-03-04 at the Wayback Machine
  3. ^ Preuss, Mike (2015), Multimodal Optimization by Means of Evolutionary Algorithms