Solving optimization problems in communications networks using computational intelligence

Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment et...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Shi, Haixiang
مؤلفون آخرون: Wang Lipo
التنسيق: Theses and Dissertations
منشور في: 2008
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/3243
الوسوم: إضافة وسم
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الوصف
الملخص:Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment etc.) can be solved in shorter time with better solution quality.