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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
15 years 4 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICSE
1999
IEEE-ACM
15 years 2 months ago
Dynamically Discovering Likely Program Invariants to Support Program Evolution
ÐExplicitly stated program invariants can help programmers by identifying program properties that must be preserved when modifying code. In practice, however, these invariants are...
Michael D. Ernst, Jake Cockrell, William G. Griswo...
I3E
2004
145views Business» more  I3E 2004»
14 years 11 months ago
Evolution of Service Processes by Rule Based Transformation
: The notion of service is closely coupled with the notion of process in general and of workflow in particular. Processes capture the coordination logic for the various resources i...
Christian Zirpins, Giacomo Piccinelli
KES
2008
Springer
14 years 9 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment
Many challenges remain in the development of tactical planning systems that will enable automated, cooperative replanning of routes and mission assignments for multiple unmanned gr...
Talib S. Hussain, David J. Montana, Gordon Vidaver