Memes have been defined as basic units of transferrable information that reside in the brain and are propagated across populations through the process of imitation. From an algorithmic point of view, memes have come to be regarded as building-blocks of prior knowledge, expressed in arbitrary computational representations (e.g., local search heuristics, fuzzy rules, neural models, etc.), that have been acquired through experience by a human or machine, and can be imitated across problems.
Journal Home:  Journal Homepage
Editor-in-Chief:  Chuan-Kang Ting
scope: General-purpose algorithms integrated with human-crafted heuristics that capture some form of prior domain knowledge;Algorithms with the ability to automatically select, adapt, and reuse the most appropriate heuristics from a diverse pool of available choices;Algorithms that autonomously learn with experience, adaptively reusing data and/or machine learning models drawn from related problems as prior knowledge in new target tasks of interest.
Print ISSN:  18659284,
Electronic ISSN:  18659292
Abstracting and Indexing:  Scopus Science Citation Index EXpanded
Imapct Factor 2021:  3.577
Subject Area and Category:   Computer Science Computer Science (miscellaneous) Mathematics Control and Optimization
Publication Frequency:  
H Index:  34
Q1:  Control and Optimization
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Q3:  
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Cite Score:  10.0
SNIP:  1.522
Journal Rank(SJR):  1.344
Latest Articles:   Latest Articles in Memetic Computing
Guidelines for Authors: Memetic Computing Author Guidelines
Paper Submissions: Paper Submissions in Memetic Computing
Publisher:  Springer Verlag
Country:  Germany