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» Evolutionary Computation for Modeling and Optimization
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GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
TCS
2010
15 years 4 months ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
HIS
2008
15 years 7 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolving similarity functions for code plagiarism detection
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghog...
GECCO
2004
Springer
15 years 11 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...