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GECCO
2007
Springer
262views Optimization» more  GECCO 2007»
16 years 9 days ago
Geometric particle swarm optimization for the sudoku puzzle
Geometric particle swarm optimization (GPSO) is a recently introduced generalization of traditional particle swarm optimization (PSO) that applies to all combinatorial spaces. The...
Alberto Moraglio, Julian Togelius
145
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 9 days ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 9 days ago
Quick-and-dirty ant colony optimization
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
Paola Pellegrini, Elena Moretti
153
Voted
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
16 years 9 days ago
Estimating the spectral sensitivity of a digital sensor using calibration targets
A digital sensor which is used inside a digital camera usually responds to a range of wavelengths. The response of the sensor is proportional to the product of the irradiance fall...
Marc Ebner
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 9 days ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu