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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 10 months ago
A mutation operator for evolution strategies to handle constrained problems
Oliver Kramer, Chuan-Kang Ting, Hans Kleine Bü...
GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness uniform deletion: a simple way to preserve diversity
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...
Shane Legg, Marcus Hutter
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
13 years 10 months ago
Automated re-invention of six patented optical lens systems using genetic programming
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
John R. Koza, Sameer H. Al-Sakran, Lee W. Jones
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Braitenberg simulations as vehicles of evolution
Correy Allen Kowall
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
13 years 10 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
13 years 10 months ago
Designing resilient networks using a hybrid genetic algorithm approach
As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased capacity of communication media and cost considerations. Relia...
Abdullah Konak, Alice E. Smith
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
13 years 10 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
GECCO
2005
Springer
266views Optimization» more  GECCO 2005»
13 years 10 months ago
Total synthesis of algorithmic chemistries
Algorithmic Chemistries are Artificial Chemistries that aim at algorithms. In this contribution we present a new algorithm to execute Algorithmic Chemistries during evolution. Th...
Christian Lasarczyk, Wolfgang Banzhaf
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
13 years 10 months ago
Choreogenetics: the generation of choreographic variants through genetic mutations and selection
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
François-Joseph Lapointe