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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 8 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
117
Voted
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
15 years 6 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
EC
2007
120views ECommerce» more  EC 2007»
15 years 2 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
153
Voted
CEC
2007
IEEE
15 years 9 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
CEC
2005
IEEE
15 years 8 months ago
A simple hybrid evolutionary algorithm for finding Golomb rulers
Abstract- Finding Golomb rulers is an extremely challenging optimization problem (with many practical applications) that has been approached by a variety of search methods in recen...
Iván Dotú, Pascal Van Hentenryck