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Titlebook: Parallel Problem Solving from Nature - PPSN IV; International Confer Hans-Michael Voigt,Werner Ebeling,Hans-Paul Schwef Conference proceedi

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31#
發(fā)表于 2025-3-26 23:29:44 | 只看該作者
32#
發(fā)表于 2025-3-27 02:41:03 | 只看該作者
33#
發(fā)表于 2025-3-27 05:24:42 | 只看該作者
Emergent cooperation for multiple agents using genetic programming, the Tile World, a multi-agent test bed [Pollack90]. The world consists of a simulated robot agent and a simulated environment which is both dynamic and unpredictable. For the purpose of evolving the cooperative behavior, we propose three types of strategies, i.e, homogeneous breeding, heterogeneous
34#
發(fā)表于 2025-3-27 12:09:36 | 只看該作者
Evolution programs evolved,olutionary programming techniques developmental programs are bred which encode plants that exhibit characteristic growth patterns advantageous in competitive environments..Program evolution is demonstrated on the basis of extended genetic programming on symbolic expressions with genetic operators an
35#
發(fā)表于 2025-3-27 17:38:42 | 只看該作者
Encoding scheme issues for open-ended artificial evolution, open-ended artificial evolution for design. If an open-ended framework involving variable complexity genetic algorithms is adopted, then the vast majority of the evolutionary effort is spent exploring neutral flat areas of the search space. Domain-specific heuristics may be employed to reduce the t
36#
發(fā)表于 2025-3-27 20:25:04 | 只看該作者
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