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GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 1 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...
TEC
2010
77views more  TEC 2010»
13 years 2 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigations in meta-GAs: panaceas or pipe dreams?
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
Jeff Clune, Sherri Goings, Bill Punch, Eric Goodma...