1149 search results - page 95 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
110
Voted
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
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...
124
Voted
GECCO
2004
Springer
15 years 8 months ago
2004
Springer
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
113
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
134
Voted
CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
144
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...