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» Evolutionary Design Calibration
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EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 1 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
ANTSW
2008
Springer
13 years 11 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
DAC
2000
ACM
14 years 10 months ago
GTX: the MARCO GSRC technology extrapolation system
Technology extrapolation -- the calibration and prediction of achievable design in future technology generations ? drives the evolution of VLSI system architectures, design method...
Andrew E. Caldwell, Yu Cao, Andrew B. Kahng, Farin...
WWW
2008
ACM
14 years 9 months ago
A domain-specific language for the model-driven construction of advanced web-based dialogs
Complex dialogs with comprehensive underlying data models are gaining increasing importance in today's Web applications. This in turn accelerates the need for highly dynamic ...
Patrick Freudenstein, Martin Nussbaumer, Florian A...
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 3 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...