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AISB
1994
Springer
15 years 5 months ago
Formal Memetic Algorithms
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
Nicholas J. Radcliffe, Patrick D. Surry
GECCO
2011
Springer
240views Optimization» more  GECCO 2011»
14 years 5 months ago
Collisions are helpful for computing unique input-output sequences
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
Chao Qian, Yang Yu, Zhi-Hua Zhou
CGF
2008
105views more  CGF 2008»
15 years 1 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly
GECCO
2003
Springer
15 years 6 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 4 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin