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Titlebook: Applications of Evolutionary Computation; EvoApplications 2011 Cecilia Chio,Anthony Brabazon,A. ?ima Uyar Conference proceedings 2011 Sprin

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發(fā)表于 2025-3-30 10:25:37 | 只看該作者
52#
發(fā)表于 2025-3-30 14:53:50 | 只看該作者
Improving ESOP-Based Synthesis of Reversible Logic Using Evolutionary AlgorithmsSDKRO) are thereby utilized enabling minimization within reasonable time bounds. Experimental results confirm that the proposed approach enables the realization of circuits with significantly less cost.
53#
發(fā)表于 2025-3-30 17:39:45 | 只看該作者
Conference proceedings 2011s to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.
54#
發(fā)表于 2025-3-30 21:02:28 | 只看該作者
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發(fā)表于 2025-3-31 03:04:23 | 只看該作者
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發(fā)表于 2025-3-31 06:04:00 | 只看該作者
Encyclopedia of Diagnostic Imagingulti-hop wireless communications, in particular interferences. In this paper, a novel hybrid approach, based on recording the Internet gateway used by ants and marking pheromone trails accordingly, is presented. Results are promising and indicate that adaptive and efficient load distribution can be achieved.
57#
發(fā)表于 2025-3-31 13:16:42 | 只看該作者
Encyclopedia of Diagnostic Imaginglustering only to find an initial solution which is next improved by the EO algorithm working on the initial program graph. Both algorithms are also compared to an EO algorithm which does not use the clustering approach.
58#
發(fā)表于 2025-3-31 15:51:20 | 只看該作者
59#
發(fā)表于 2025-3-31 18:22:27 | 只看該作者
Encyclopedia of Diagnostic Imagingmplies that strategies from the past cannot be applied to future time periods, unless they have co-evolved with the market. The results on an empirical financial market show that its behavior constantly changes; thus, agents’ strategies need to continuously adapt to the changes taking place in the m
60#
發(fā)表于 2025-3-31 22:51:39 | 只看該作者
Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Frmplies that strategies from the past cannot be applied to future time periods, unless they have co-evolved with the market. The results on an empirical financial market show that its behavior constantly changes; thus, agents’ strategies need to continuously adapt to the changes taking place in the m
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