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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 18 days ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
16 years 18 days ago
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
Min Gui, Sanjoy Das, Anil Pahwa
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 18 days 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
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 18 days ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
MEMOCODE
2006
IEEE
16 years 13 days ago
Mixed symbolic representations for model checking software programs
We present an efficient symbolic search algorithm for software model checking. The algorithm combines multiple symbolic representations to efficiently represent the transition r...
Zijiang Yang, Chao Wang, Aarti Gupta, Franjo Ivanc...