GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Finless rockets are more efficient than finned designs, but are too unstable to fly unassisted. These rockets require an active guidance system to control their orientation durin...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Associative memories based on DNA-affinity have been proposed [2]. Here, the performance, efficiency, reliability of DNA-based memories is quantified through simulations in silico....
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
By applying the schema theorem, we study the effects of crossover in Genetic Algorithms with the multiplicative fitness function. On this landscape, the analytical expression of ...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
One problem associated with coevolutionary algorithms is that of forgetting, where one or more previously acquired traits are lost only to be needed later. We introduce a new coevo...