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» On the Brittleness of Evolutionary Algorithms
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EPS
1997
Springer
15 years 10 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu
ICCD
1994
IEEE
142views Hardware» more  ICCD 1994»
15 years 10 months ago
Grammar-Based Optimization of Synthesis Scenarios
Systems for multi-level logic optimization are usually based on a set of specialized, loosely-related transformations which work on a network representation. The sequence of trans...
Andreas Kuehlmann, Lukas P. P. P. van Ginneken
LION
2010
Springer
239views Optimization» more  LION 2010»
15 years 10 months ago
The EvA2 Optimization Framework
Abstract. We present EvA2, a comprehensive metaheuristic optimization framework with emphasis on Evolutionary Algorithms. It presents a modular structure of interfaces and abstract...
Marcel Kronfeld, Hannes Planatscher, Andreas Zell
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 10 months ago
Multiobjective network design for realistic traffic models
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
Nilanjan Banerjee, Rajeev Kumar
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 10 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...