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Titlebook: Advances in Computation and Intelligence; Third International Lishan Kang,Zhihua Cai,Yong Liu Conference proceedings 2008 Springer-Verlag

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樓主: Philanthropist
51#
發(fā)表于 2025-3-30 09:23:26 | 只看該作者
52#
發(fā)表于 2025-3-30 15:58:30 | 只看該作者
53#
發(fā)表于 2025-3-30 20:15:04 | 只看該作者
https://doi.org/10.1007/978-3-658-38498-2he primary mutation operator, Improved Fast Evolutionary (IFEP) selects the better Gaussian and Cauchy distribution as the primary mutation operator. In this paper, we propose a self-adaptive Evolutionary Programming based on Optimum Search Direction (OSDEP) in which we introduce the current best gl
54#
發(fā)表于 2025-3-31 00:07:40 | 只看該作者
Grundlagen systematischer Strategiearbeit, function optimization. The number of clone is direct proportion to “affinity” between individuals and the chaos sequence can search the points all over the solution space, so DCCM-EA can make all points get equal evolutionary probability, to get the global optimal solution most possibly. In the exp
55#
發(fā)表于 2025-3-31 02:21:35 | 只看該作者
56#
發(fā)表于 2025-3-31 05:56:05 | 只看該作者
Storage and Retrieval of Information,erator of GuoTao algorithm with two local search operators. The first local search operator is a simplified Hooke-Jeeves algorithm which can find near-optimal solutions near the start point within reasonable computational time. And the second local search operator is a powell algorithm which can fin
57#
發(fā)表于 2025-3-31 10:42:43 | 只看該作者
https://doi.org/10.1007/978-1-349-11727-7not easy when use GEP to solve too complex problem, so enhancing the algorithm learning capability is necessary. This paper proposes an immune principle based GEP algorithm (iGEP), which combines gene library and clonal selection algorithm. The gene library is composed of subexpressions of GEP expre
58#
發(fā)表于 2025-3-31 15:58:58 | 只看該作者
https://doi.org/10.1057/9781137302748ptimum when the distance between the current search point and the optimum is large, but decrease the probability when such distance is small [1]. By explicitly measuring the search step sizes, this paper gives sound evidence that not long jumps but large variances in Cauchy mutation have contributed
59#
發(fā)表于 2025-3-31 18:27:47 | 只看該作者
Governance and Limited Statehoodace, the other is code with the problem space. How weighs one representation quality may think the following questions? The first is the code method should as far as possible complete, it is say for the significance solution circuit or the optimize solution obtains in the problem space may represent
60#
發(fā)表于 2025-4-1 01:45:15 | 只看該作者
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