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» On the Optimality of Spiral Search
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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
16 years 12 days ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
16 years 12 days ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
16 years 12 days ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
16 years 12 days ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
SOCO
2005
Springer
16 years 10 days ago
Directory Support for Large-Scale, Automated Service Composition
In an open environment populated by large numbers of services, automated service composition is a major challenge. In such a setting the efficient interaction of directory-based s...
Walter Binder, Ion Constantinescu, Boi Faltings