"Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization" by Javier Del Ser Lorente with coed. Eneko Osaba
ITExLi | 2018 | ISBN: 1789233291 9781789233292 1789233283 9781789233285 | 63 pages | PDF | 3 MB
This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.