| 期刊全称 | Advances in Learning Automata and Intelligent Optimization | | 影响因子2023 | Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh, | | 视频video | | | 发行地址 | Provides leading studies in the application of learning automata (LA) along with different heuristics for solving optimization problems.Collects recent advances and developments in learning automata-b | | 学科分类 | Intelligent Systems Reference Library | | 图书封面 |  | | 影响因子 | This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA‘s application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA‘s application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed... Highlighted benefits .• Presents the latest advances in learning automata-based optimization approaches..• Addresses the memetic models of learning automata for solving NP-hard problems..• Discusses the appli | | Pindex | Book 2021 |
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发表于 2025-3-21 16:53:27
