Shared memory based Cooperative Coevolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{puppala:1998:smbcc,
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author = "Narendra Puppala and Sandip Sen and Maria Gordin",
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title = "Shared memory based Cooperative Coevolution",
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booktitle = "Proceedings of the 1998 IEEE World Congress on
Computational Intelligence",
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year = "1998",
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pages = "570--574",
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address = "Anchorage, Alaska, USA",
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month = "5-9 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Applications
of Evolutionary Computation, Representation and
Operators, Comparing Algorithms, agent behaviours,
autonomous agents, behavioural strategies, coordination
skills, multiagent systems, optimal behaviour patterns,
room painting domain, shared memory, shared memory
based cooperative coevolution, cooperative systems,
software agents",
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ISBN = "0-7803-4869-9",
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file = "c098.pdf",
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DOI = "doi:10.1109/ICEC.1998.700091",
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size = "5 pages",
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abstract = "Autonomous agents that possess distinct expertise but
lack proper coordination skills can suffer from poor
performance in a cooperative setting. The success of
agents in multiagent systems is based on their ability
to adapt effectively with other agents in completing
their tasks. We present here a co-evolutionary approach
to generating behavioral strategies for autonomous
agents cooperating with each other to achieve a common
goal. We co-evolve agent behaviors with genetic
algorithms (GAS) where one GA population is evolved per
individual in the cooperative group. Groups are formed
by pairing strategies from each population and the best
pairs are stored in shared memory. Population members
are evaluated by pairing them with representatives of
other populations in the shared memory. Experimental
results obtained by conducting experiments in a room
painting domain are presented, showing the success of
the shared memory approach in consistently generating
optimal behavior patterns. Performance comparisons with
a random pairing approach and a single population
approach demonstrate the utility of the shared memory
approach.",
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notes = "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
World Congress on Computational Intelligence. Presented
at WCCI-98 by Dale A. Schoenefeld. Painter and
Whitewasher problem",
- }
Genetic Programming entries for
Narendra Puppala
Sandip Sen
Maria Gordin
Citations