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127
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ACMSE
2008
ACM
15 years 5 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
119
Voted
AAAI
2006
15 years 4 months ago
Conflict Resolution and a Framework for Collaborative Interactive Evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
100
Voted
BIRTHDAY
2010
Springer
15 years 3 months ago
Change Management for Heterogeneous Development Graphs
Abstract. The error-prone process of formal specification and verification of large systems requires an efficient, evolutionary formal development approach. Development graphs have...
Serge Autexier, Dieter Hutter, Till Mossakowski
131
Voted
CEC
2009
IEEE
15 years 10 months ago
Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations
Abstract—In future massively distributed service-based computational systems, resources will span many locations, organisations and platforms. In such systems, the ability to all...
Peter R. Lewis, Paul Marrow, Xin Yao
AUSAI
2009
Springer
15 years 10 months ago
A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
Upali K. Wickramasinghe, Xiaodong Li