Applied optimization and swarm intelligence / Eneko Osaba, Xin-She Yang, editors.
- 其他作者：
- 其他題名：
- Springer tracts in nature-inspired computing.
- 出版： Singapore : Springer 2021.
- 叢書名： Springer tracts in nature-inspired computing
- 主題： Swarm intelligence. , Mathematical optimization.
- ISBN： 9789811606618 (hbk.) :: NT4863.00 、 9811606617 (hbk.)
- 書目註：Includes bibliographical references.
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讀者標籤：
- 系統號： 005171330 | 機讀編目格式
館藏資訊
摘要註
This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.
內容註
Applied Optimization and Swarm Intelligence: A Systematic Review and Prospect Opportunities -- A Review on Ensemble Methods and their Applications to Optimization Problems -- A Brief Overview of Swarm Intelligence-Based Algorithms for Numerical Association Rule Mining -- Review of Swarm Intelligence for Improving Time Series Forecasting -- Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications -- Formal Cognitive Modeling of Swarm Intelligence for Decision-Making Optimization Problems -- Nature-Inspired Optimization Algorithms for Path Planning and Fuzzy Tracking Control of Mobile Robots -- A Hardware Architecture and Physical Prototype for General-Purpose Swarm Minirobotics: Proteus II -- Evolving a Multi-Objective Optimization Framework -- Swarm Intelligence Based Optimum Design of Deep Excavation System