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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 4 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
CCE
2005
15 years 2 months ago
Global optimization in the 21st century: Advances and challenges
This paper presents an overview of the research progress in global optimization during the last 5 years (1998
Christodoulos A. Floudas, I. G. Akrotirianakis, S....
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolved transforms surpass the FBI wavelet for improved fingerprint compression and reconstruction
This paper describes the evolution of new wavelet and scaling numbers for optimized transforms that consistently outperform the 9/7 discrete wavelet transform (DWT) for fingerprin...
Brendan J. Babb
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 6 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
AAAI
1994
15 years 4 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita