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GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 1 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
PPSN
2010
Springer
14 years 8 months ago
Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation
Abstract. Evolutionary algorithms have been shown to be very successful for a wide range of NP-hard combinatorial optimization problems. We investigate the NP-hard problem of compu...
Stefan Kratsch, Per Kristian Lehre, Frank Neumann,...
ICPR
2008
IEEE
15 years 11 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
ARC
2009
Springer
137views Hardware» more  ARC 2009»
15 years 4 months ago
Heterogeneous Architecture Exploration: Analysis vs. Parameter Sweep
This paper argues the case for the use of analytical models in FPGA architecture layout exploration. We show that the problem when simplified, is amenable to formal optimization t...
Asma Kahoul, George A. Constantinides, Alastair M....
ALGORITHMICA
2010
104views more  ALGORITHMICA 2010»
14 years 10 months ago
Fixed-Parameter Approximation: Conceptual Framework and Approximability Results
The notion of fixed-parameter approximation is introduced to investigate the approximability of optimization problems within the framework of fixed-parameter computation. This work...
Liming Cai, Xiuzhen Huang