TY - CHAP A1 - Siew Mooi Lim A2 - Kuan Yew Leong ED1 - Javier Del Ser ED2 - Eneko Osaba Y1 - 2018-07-18 PY - 2018 T1 - A Brief Survey on Intelligent Swarm-Based Algorithms for Solving Optimization Problems N2 - Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. 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. BT - Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization SP - Ch. 4 UR - https://doi.org/10.5772/intechopen.76979 DO - 10.5772/intechopen.76979 SN - 978-1-78923-329-2 PB - IntechOpen CY - Rijeka Y2 - 2021-12-07 ER -