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SOCO
2010
Springer
15 years 22 days ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
122
Voted
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming
In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QF...
Paul Massey, John A. Clark, Susan Stepney
CISIM
2008
IEEE
15 years 8 months ago
Scheduling in Multiprocessor System Using Genetic Algorithms
Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all...
Keshav P. Dahal, M. Alamgir Hossain, Benny Varghes...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 8 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
94
Voted
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
15 years 8 months ago
GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system
In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capabl...
Michael Henry Wolk