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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 4 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
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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 4 months ago
Investigating data-flow coverage of classes using evolutionary algorithms
It is not unusual for a software development organization to expend 40 percent of total project effort on testing, which can be a very laborious and time-consuming process. Thus, ...
Konstantinos Liaskos, Marc Roper, Murray Wood
GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
15 years 4 months ago
The multi-objective next release problem
This paper is concerned with the Multi-Objective Next Release Problem (MONRP), a problem in search-based requirements engineering. Previous work has considered only single objecti...
Yuanyuan Zhang, Mark Harman, S. Afshin Mansouri
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
15 years 4 months ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 4 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