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» Parallelism and evolutionary algorithms
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PPSN
2004
Springer
15 years 8 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
CEC
2008
IEEE
15 years 10 months ago
Direction matters in high-dimensional optimisation
Abstract— Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have be...
Cara MacNish, Xin Yao
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
15 years 9 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
127
Voted
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 4 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
132
Voted
PPSN
1992
Springer
15 years 7 months ago
Non-Linear Genetic Representations
The limitations of linear chromosomes and conventional recombination operators are reviewed. It is argued that there are at least three classes of problems for which such represen...
Nicholas J. Radcliffe