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143
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GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
15 years 7 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang
103
Voted
ICES
2000
Springer
91views Hardware» more  ICES 2000»
15 years 7 months ago
Dynamic Optimisation of Non-linear Feed Forward Circuits
Abstract. An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16-bit address space into an 8-bit one. The target technolog...
Ernesto Damiani, Valentino Liberali, Andrea Tettam...
144
Voted
GECCO
2010
Springer
217views Optimization» more  GECCO 2010»
15 years 5 months ago
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from grad...
Steffen Finck, Hans-Georg Beyer
126
Voted
FLAIRS
2006
15 years 5 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi
135
Voted
CEC
2008
IEEE
15 years 10 months ago
Differential evolution for discrete optimization: An experimental study on Combinatorial Auction problems
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
Jingqiao Zhang, Viswanath Avasarala, Arthur C. San...