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» On the Brittleness of Evolutionary Algorithms
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GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
15 years 1 months ago
Revisiting evolutionary algorithms with on-the-fly population size adjustment
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
Fernando G. Lobo, Cláudio F. Lima
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 11 months ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya
COR
2008
164views more  COR 2008»
14 years 10 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
EC
2007
120views ECommerce» more  EC 2007»
14 years 10 months ago
On Replacement Strategies in Steady State Evolutionary Algorithms
Steady-State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This ...
Jim Smith
CEC
2007
IEEE
15 years 4 months ago
Multi-objective strip packing using an evolutionary algorithm
— Good algorithms exist for solving the strip packing problem when the objective is to minimise the amount of wasted material. We describe a multi-objective evolutionary algorith...
Simon Illich, R. Lyndon While, Luigi Barone