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» The State Problem for Evolutionary Testing
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CEC
2009
IEEE
15 years 4 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
ISICA
2007
Springer
15 years 4 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
GECCO
2003
Springer
15 years 3 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
TOOLS
2000
IEEE
15 years 2 months ago
Algorithmic Analysis of the Impacts of Changes to Object-Oriented Software
The research presented here addresses the problem of change impact analysis CIA for object-oriented software. A major problem for developers in an evolutionary environment is th...
Michelle Lee, A. Jefferson Offutt, Roger T. Alexan...
PPSN
1994
Springer
15 years 2 months ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher