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Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa

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21#
發(fā)表于 2025-3-25 05:26:22 | 只看該作者
Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization,s defined by the level of interaction amongst decision variables. Recent work in cooperative coevolution featured competition and collaboration of problem decomposition methods that was implemented as islands in a method known as competitive island cooperative coevolution (CICC). In this paper, a mu
22#
發(fā)表于 2025-3-25 08:06:00 | 只看該作者
Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Se continuous optimization problems. It may seem that solving large-scale fully-separable functions is trivial by means of problem decomposition. In principle, due to lack of variable interaction in fully-separable problems, any decomposition is viable. However, the decomposition strategy has shown to
23#
發(fā)表于 2025-3-25 12:23:14 | 只看該作者
24#
發(fā)表于 2025-3-25 18:26:22 | 只看該作者
25#
發(fā)表于 2025-3-25 21:12:18 | 只看該作者
Objective Function of ICA with Smooth Estimation of Kurtosis, to the sign of kurtosis of source (sub- or super-Gaussian), where the change of the sign often causes a large discontinuity in the objective function. On the other hand, some other previous methods use continuous objective functions by using the squares of the 4th-order statistics. However, such sq
26#
發(fā)表于 2025-3-26 01:51:11 | 只看該作者
management environment, with rapid changes in technology and diversity of customer needs, firms are facing more difficulties in securing a competitive advantage. Especially for small and medium-sized firms with insufficient resources and competence, it is more difficult to survive and grow due to lo
27#
發(fā)表于 2025-3-26 05:38:50 | 只看該作者
28#
發(fā)表于 2025-3-26 12:25:40 | 只看該作者
Xiong Yang,Derong Liu,Qinglai Weif pollution, often overshadowed environmental discussions, profoundly influences the aesthetic harmony and mental well-being of urban inhabitants. In this research, we present an innovative methodology to detect visual pollution using drone-captured imagery. Our distinctive dataset captures a spectr
29#
發(fā)表于 2025-3-26 16:29:54 | 只看該作者
30#
發(fā)表于 2025-3-26 19:26:27 | 只看該作者
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