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GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
15 years 5 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 5 months ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath
ICCD
1994
IEEE
142views Hardware» more  ICCD 1994»
15 years 4 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
CEC
2009
IEEE
15 years 3 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
EVOW
2006
Springer
15 years 3 months ago
Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems
This paper proposes an evolutionary algorithm (EA) that is applied to the traveling salesman problem (TSP). Existing approximation methods to address the TSP known to be state-of-t...
Yuichi Nagata