Tags
Language
Tags
March 2024
Su Mo Tu We Th Fr Sa
25 26 27 28 29 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6

Agent-Based Evolutionary Search (Adaptation, Learning, and Optimization) by Ruhul A. Sarker [Repost]

Posted By: BUGSY
Agent-Based Evolutionary Search (Adaptation, Learning, and Optimization) by Ruhul A. Sarker [Repost]

Agent-Based Evolutionary Search (Adaptation, Learning, and Optimization) by Ruhul A. Sarker
English | June 8, 2010 | ISBN: 3642134246 | 293 Pages | PDF | 5 MB

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.