Sciweavers

2152 search results - page 268 / 431
» Backward-chaining evolutionary algorithms
Sort
View
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 9 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
GECCO
2004
Springer
15 years 9 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 9 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
123
Voted
CEC
2009
IEEE
15 years 8 months ago
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning
—A cooperative coevolutionary algorithm (CCEA) is an extension to an evolutionary algorithm (EA); it employs a divide and conquer strategy to solve an optimization problem. In it...
Tapabrata Ray, Xin Yao
208
Voted
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
15 years 5 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...