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GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
15 years 3 months ago
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
Dirk Thierens
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 3 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 1 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
ACRI
2006
Springer
14 years 11 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...