A Brief Introduction to Continuous Evolutionary OptimizationEvolution Strategies
A Brief Introduction to Continuous Evolutionary Optimization: Evolution Strategies
Kramer, Oliver
2013-12-05 00:00:00
[Many real-world problems are multimodal, which renders an optimization problem difficult to solve. Local search methods, i.e., methods that greedily improve solutions based on search in the neighborhood of a solution, often only find an arbitrary local optimum that is not guaranteed to be the global one.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/a-brief-introduction-to-continuous-evolutionary-optimization-evolution-xAYkpyqmLi
A Brief Introduction to Continuous Evolutionary OptimizationEvolution Strategies
[Many real-world problems are multimodal, which renders an optimization problem difficult to solve. Local search methods, i.e., methods that greedily improve solutions based on search in the neighborhood of a solution, often only find an arbitrary local optimum that is not guaranteed to be the global one.]
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.