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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 8 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
15 years 7 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
Anne Auger, Nikolaus Hansen
GECCO
2004
Springer
15 years 8 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
SIGIR
2008
ACM
15 years 3 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 9 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai