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GECCO
2010
Springer

Shared memory genetic algorithms in a multi-agent context

9 years 1 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. Our algorithm divides the problems into subproblems as opposed to the usual approach of dividing the population into niches. We show tests for timing and performance on a variety of platforms. Track: Parallel Evolutionary Systems Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence, Multiagent Systems General Terms Algorithms Keywords Parallel genetic algorithms, shared memory, multi-agents
Dana Vrajitoru
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where GECCO
Authors Dana Vrajitoru
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