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1-10 of 11 Reviews about "
Evolutionary Prototyping (D.2.2...)
":
Date Reviewed
Multilevel models in model-driven engineering, product lines, and metaprogramming
Batory D. IBM Systems Journal 45(3): 527-539, 2006. Type: Article
Contemporary approaches to raising the abstraction level in software design—namely, model-driven engineering, product lines, and metaprogramming—are addressed in this paper. The author elaborates on the possibility of using an ...
Jan 10 2007
Conceptual modeling and code generation for rich Internet applications
Bozzon A., Comai S., Fraternali P., Carughi G. Web engineering (Proceedings of the 6th International Conference on Web Engineering, Palo Alto, CA, Jul 11-14, 2006) 353-360, 2006. Type: Proceedings
Bozzon et al. present the results of a comprehensive approach to modeling and design automation for rich Internet applications (RIAs). RIAs are modern Web-based systems with elaborate graphical user interfaces in which clients will eventually be...
Nov 10 2006
Web engineering with the visual software circuit board
Avoyan H., Levine B. World Wide Web (Alternate track papers & posters of the Proceedings of the 13th International World Wide Web Conference, New York, NY, USA, May 19-21, 2004) 216-217, 2004. Type: Proceedings
A short presentation of a software development approach is provided in this paper. Visual software circuit board (VSCB) technology provides the basis for the approach....
Oct 18 2004
Advances in evolutionary computing: theory and applications
Ghosh A., Tsutsui S. Springer-Verlag New York, Inc., New York, NY, 2003. Type: Divisible Book
This is a compendium of 40 research papers, with an overall length of more than 1,000 pages. The collected papers report on advances in the field of evolutionary computing (EC), a branch of computing founded on the principles of natural...
Feb 3 2004
Behavioral subtyping relations for active objects
Wehrheim H. Formal Methods in System Design 23(2): 143-170, 2003. Type: Article
Inheritance creates new classes from old ones by adding functions. Yet, can we be sure that the clients of new classes cannot foul up the clients of old ones? This paper answers this question, using process algebras and communicating sequential...
Dec 31 2003
Gene expression and scalable genetic search
Kargupta H. In
Advances in evolutionary computing
. New York, NY: Springer-Verlag New York, Inc., 2003. Type: Book Chapter
This is an excellent review of the school of thought that considers gene expression from the perspective of computation and scalability. Kargupta is an expert in this area....
Dec 30 2003
Filter objects for Java
Joshi R., Mascarenhas M., Murarka Y. Software--Practice & Experience 33(6): 509-522, 2003. Type: Article, Reviews: (2 of 2)
This paper explores a way to implement filtering for messages passed between Java objects. It is focused on server-side handling of arguments that are passed to procedures or functions. With Java classes, however, the term “messages”...
Dec 4 2003
Filter objects for Java
Joshi R., Mascarenhas M., Murarka Y. Software--Practice & Experience 33(6): 509-522, 2003. Type: Article, Reviews: (1 of 2)
Where messages are directly delivered to their destinations in conventional object-oriented systems, filtering allows intermediate processing. The authors have designed an extension to Java and implemented a preprocessor, called translator for...
Nov 7 2003
Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application
Vassilev V., Fogarty T., Miller J. In
Advances in evolutionary computing
. New York, NY: Springer-Verlag New York, Inc., 2003. Type: Book Chapter
Vassilev, Fogarty, and Miller provide a solid mathematical background for the study of fitness landscapes. First, they present the algebraic aspects of fitness landscapes, including landscape mutation and recombination operators, characterized...
Oct 21 2003
Fast evolutionary algorithms
Yao X., Liu Y., Liang K., Lin G. In
Advances in evolutionary computing
. New York, NY: Springer-Verlag New York, Inc., 2003. Type: Book Chapter
Yao, Liu, Liang, and Lin propose and test several new evolutionary algorithms that outperform existing ones on their set of benchmark test functions. The benchmark functions are detailed in an appendix....
Oct 20 2003
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