| 期刊全称 | Agent-Based Evolutionary Search | | 影响因子2023 | Ruhul Amin Sarker,Tapabrata Ray | | 视频video | | | 发行地址 | State-of-the art in theory and practice of Agent Based Evolutionary Search.Includes novel frameworks and real-world applications of Agent Based Evolutionary Search.Written by leading experts in this f | | 学科分类 | Adaptation, Learning, and Optimization | | 图书封面 |  | | 影响因子 | Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the | | Pindex | Book 2010 |
The information of publication is updating
|
|
发表于 2025-3-21 17:34:56
