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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
13 years 11 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...
JNW
2007
132views more  JNW 2007»
13 years 7 months ago
Genetic Algorithm for Hierarchical Wireless Sensor Networks
— Large scale wireless sensor networks (WSNs) can be used for various pervasive and ubiquitous applications such as security, health-care, industry automation, agriculture, envir...
Sajid Hussain, Abdul Wasey Matin, Obidul Islam