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» Optimizing for Reduced Code Space using Genetic Algorithms
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121
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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 8 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 8 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
110
Voted
KBSE
2005
IEEE
15 years 8 months ago
Locating faulty code using failure-inducing chops
Software debugging is the process of locating and correcting faulty code. Prior techniques to locate faulty code either use program analysis techniques such as backward dynamic pr...
Neelam Gupta, Haifeng He, Xiangyu Zhang, Rajiv Gup...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 8 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
125
Voted
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 8 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...