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» Exploring a Two-Population Genetic Algorithm
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 6 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
EMO
2006
Springer
173views Optimization» more  EMO 2006»
13 years 8 months ago
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
Tea Tusar, Bogdan Filipic
GEM
2010
13 years 3 months ago
Revisiting Genetic Algorithms for the FPGA Placement Problem
In this work, we present a genetic algorithm framework for the FPGA placement problem. This framework is constructed based on previous proposals in this domain. We implement this f...
Peter Jamieson
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
13 years 10 months ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
GECCO
2003
Springer
107views Optimization» more  GECCO 2003»
13 years 10 months ago
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is ...
T. Q. S. Truong, A. Stacey