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» Using genetic programming to obtain implicit diversity
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ASM
2008
ASM
13 years 9 months ago
On the Purpose of Event-B Proof Obligations
Event-B is a formal modelling method which is claimed to be suitable for diverse modelling domains, such as reactive systems and sequential program development. This claim hinges o...
Stefan Hallerstede
ENGL
2007
191views more  ENGL 2007»
13 years 7 months ago
Application of Genetic Algorithm to the Optimization of Gain of Magnetized Ferrite Microstrip Antenna
The application of Genetic Algorithm (GA) to the optimization of gain of microstrip antenna, fabricated on ferrite substrate, biased externally by a steady magnetic field, is repor...
Neela Chattoraj, Jibendu Sekhar Roy
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
CSREASAM
2010
13 years 4 months ago
Modeling NIDS Evasion with Genetic Programming
Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on...
Sergio Pastrana, Agustín Orfila, Arturo Rib...
CEC
2009
IEEE
14 years 2 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...