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GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 3 months ago
Applying price's equation to survival selection
Several researchers have used Price’s equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving i...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 3 months ago
Map-labelling with a multi-objective evolutionary algorithm
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-labelling involves placing labels for sites onto a map such that the result is easy ...
Lucas Bradstreet, Luigi Barone, R. Lyndon While
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
GECCO
2005
Springer
384views Optimization» more  GECCO 2005»
15 years 3 months ago
A case study of process facility optimization using discrete event simulation and genetic algorithm
Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper pr...
Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, ...