期刊缩写 IEEE T SYST MAN CY B
期刊全称 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS IEEE系统，人与控制论，B部分：控制论出版信息
出版国家 UNITED STATES
出版周期 Bimonthly
期刊ISSN 1083-4419
2012-2013最新影响因子 3.236
Cybernetics, including communication and control across humans, machines and organizations at the structural or neural level, as well as at functional and purposeful levels; design and development of biologically and linguistically motivated computational paradigms emphasizing vision, neural networks, genetic algorithms, fuzzy systems, automated planning, computational intelligence, and robotics.
IEEE Transactions on Systems, Man and Cybernetics, Part B
Call for papers: IEEE Transactions on Systems, Man and Cybernetics, Part B
Special Issue on Memetic Algorithms
Important Dates:
Manuscript submission: May 1, 2005
Notification: July 15, 2005
One of the recent growing areas in Evolutionary Algorithm (EAs) research is Memetic Algorithms (MAs). MAs are population-based meta-heuristic search methods inspired by Darwinian principles of natural evolution and Dawkins notion of a meme defined as a unit of cultural evolution that is capable of local refinements. Recent studies on MAs have revealed their successes on a wide variety of real world problems. Particularly, they not only converge to high quality solutions, but also search more efficiently than their conventional counterparts. In diverse contexts, MAs are also commonly known as hybrid EAs, Baldwinian EAs, Lamarkian EAs, cultural algorithms and genetic local search.
The aim of this special issue is to reflect the most recent advances in the field, and increase the awareness of the computing community at large on this effective technology. In particular, we endeavor to demonstrate the current state-of-the-art in the theory and practice of MAs. Topics of interests include (but are not limited to):
novel competitive, collaborative and cooperative frameworks of MAs,
analytical and/or theoretical studies that enhance our understanding of the behaviors of MAs,
using multiple memes or local searchers or exact methods,
adaptive MAs (e.g., meta-Lamarckian and meta-Baldwinian),
hybridizations with exact and/or approximate methods,
asymptotic global convergence analyses and/or complexity analyses of MAs,
optimization in discrete, continuous and dynamic problems using MAs,
multi-objective optimization using MAs,
real-world applications of MAs. |
