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» Metaphor for learning: an evolutionary algorithm
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GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
13 years 8 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
CEC
2005
IEEE
13 years 10 months ago
Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population
Abstract- This paper proposes an evolutionary approach for the composition of solutions in an incremental way. The approach is based on the metaphor of transitions in complexity di...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 11 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
13 years 11 months ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley