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GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 3 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
TEC
2010
203views more  TEC 2010»
13 years 3 months ago
Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Xiaodong Li
AISB
1995
Springer
14 years 20 days ago
An Evolutionary Algorithm for Parametric Array Signal Processing
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a...
Dekun Yang, Stuart J. Flockton
EC
2008
164views ECommerce» more  EC 2008»
13 years 9 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 1 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi