Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4328
Title: Solving channel assignment problem for mobile communication with soft computing
Authors: Gu, Wen
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2005
Source: Gu, W. (2005). Solving channel assignment problem for mobile communication with soft computing. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: In industry, agriculture and economy, we often encounter constrained optimization problems. One common way to deal with these problems is to transform the constrained optimization problems into unconstrained ones by introducing a penalty function, which is controlled by a number of penalty coefficients into the objective function.. However, how to set the penally coefficients turns out to be a difficult problem itself [16]! Stochastic ranking is a novel constraint-handling technique proposed by P.T. Runarsson and Xin Yao. Applying this technique for constrained evolutionary make us do not need to determine the hard-setting penalty coefficients. We demonstrate this novel approach with one difficult combinatorial optimization problem, i.e., the channel assignment problem for cellular mobile communications.
URI: https://hdl.handle.net/10356/4328
DOI: 10.32657/10356/4328
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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