Amaldi E, Capone A, Malucelli F, Signori F (2002) UMTS radio planning: optimizing base station configuration. In: Proceedings of IEEE 56th vehicular technology conference, vol 2, pp 768–772
Amaldi E, Capone A, Malucelli F, Signori F (2003) A mathematical programming approach for WCDMA radio planning with uplink and downlink constraints. In: Proceedings of IEEE 58th vehicular technology conference, vol 2, pp 806–810
Amaldi E, Capone A, Malucelli F (2008) Radio planning and coverage optimization of 3G cellular networks. Wirel Netw 14(4):435–447
Article
Google Scholar
Apiletti D, Baralis E, Cerquitelli T (2010) Energy-saving models for wireless sensor networks. Knowl Inf Syst 28(3):615–644
Article
Google Scholar
Bader J, Zitzler E (2011) Hype: an algorithm for fast hypervolume-based many-objective optimization. Evol Comput 19(1):45–76
Article
Google Scholar
Berruto E, Gudmundson M, Menolascino R, Mohr W, Pizarroso M (1998) Research activities on UMTS radio interface, network architectures, and planning. IEEE Commun Mag 36(2):82–95
Article
Google Scholar
Büsing C, DAndreagiovanni F (2012) New results about multi-band uncertainty in robust optimization. In: Experimental algorithms. Springer, Berlin, pp 63–74
Capone A, Chen L, Gualandi S, Yuan D (2011) A new computational approach for maximum link activation in wireless networks under the SINR model. IEEE Trans Wirel Commun 10(5):1368–1372
Article
Google Scholar
Castro JP (2001) The UMTS network and radio access technology. Wiley, New York
Book
Google Scholar
Cheung YM (2005) Maximum weighted likelihood via rival penalized em for density mixture clustering with automatic model selection. IEEE Trans Knowl Data Eng 17(6):750–761
Article
Google Scholar
Cheung YM, Zeng H (2009) Local kernel regression score for selecting features of high-dimensional data. IEEE Trans Knowl Data Eng 21(12):1798–1802
Article
Google Scholar
Chong SK, Gaber MM, Krishnaswamy S, Loke SW (2011) Energy conservation in wireless sensor networks: a rule-based approach. Knowl Inf Syst 28(3):579–614
Article
Google Scholar
Claßen G, Koster AM, Schmeink A (2013) A robust optimisation model and cutting planes for the planning of energy-efficient wireless networks. Comput Oper Res 40(1):80–90
MathSciNet
Article
Google Scholar
Cornuéjols G (2008) Valid inequalities for mixed integer linear programs. Math Program 112(1):3–44
MathSciNet
Article
MATH
Google Scholar
COST231 (1991) Urban transmission loss models for mobile radio in the 900 and 1800 MHZ bands.In: European cooperation in the field of scientific and technical research EURO-COST231.
D’Andreagiovanni F (2011) On improving the capacity of solving large-scale wireless network design problems by genetic algorithms. In: Applications of evolutionary computation. Springer, Berlin, pp 11–20
D’Andreagiovanni F (2012) Pure 0–1 programming approaches to wireless network design. 4OR: Q J Oper Res 10(2):211–212
Article
Google Scholar
D’Andreagiovanni F, Mannino C, Sassano A (2011) Negative cycle separation in wireless network design. In: Network optimization, Springer, Berlin, pp 51–56
D’Andreagiovanni F, Mannino C, Sassano A (2013) GUB covers and power-indexed formulations for wireless network design. Manag Sci 59(1):142–156
Article
Google Scholar
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2):182–197
Article
Google Scholar
Eisenblatter A, Geerdes HF (2006) Wireless network design: solution-oriented modeling and mathematical optimization. IEEE Wirel Commun 13(6):8–14
Article
Google Scholar
Garzia F, Perna C, Cusani R (2010) Optimization of UMTS network planning using genetic algorithms. Commun Netw 2(3):193–199
Article
Google Scholar
Gong W, Cai Z (2009) An improved multiobjective differential evolution based on pareto-adaptive\(\epsilon \)-dominance and orthogonal design. Eur J Oper Res 198(2):576–601
Gu F, Liu HL, Li M (2009) Evolutionary algorithm for the radio planning and coverage optimization of 3G cellular networks. In: Proceedings of the international conference on computational intelligence and security, vol 2, pp 109–113
Hatay M (1980) Empirical formula for propagation loss in land mobile radio services. IEEE Trans Veh Technol 29(3):317–325
Article
Google Scholar
He Z, You X, Zhou L, Cheung YM, Du J (2010) Writer identification using fractal dimension of wavelet subbands in gabor domain. Integr Comput Aided Eng 17(2):157–165
Google Scholar
Holma H, Toskala A et al (2000) WCDMA for UMTS. Wiley, London
Google Scholar
Hosage C, Goodchild M (1986) Discrete space location-allocation solutions from genetic algorithms. Ann Oper Res 6(2):35–46
Article
Google Scholar
Jaramillo JH, Bhadury J, Batta R (2002) On the use of genetic algorithms to solve location problems. Comput Oper Res 29(6):761–779
MathSciNet
Article
MATH
Google Scholar
Jia H, Cheung YM, Liu J (2014) Cooperative and penalized competitive learning with application to kernel-based clustering. Pattern Recognit 47:3060–3069
Article
Google Scholar
Kennington J, Olinick E, Rajan D (2010) Wireless network design: optimization models and solution procedures. Springer, Berlin
Google Scholar
Koutitas G (2010) Green network planning of single frequency networks. IEEE Trans Broadcast 56(4):541–550
Laiho J, Wacker A, Novosad T (2006) Radio network planning and optimisation for UMTS. Wiley, London
Google Scholar
Lan WG, Wong MK, Chee KK, Sin YM (1995) Orthogonal array design as a chemometric method for the optimization of analytical procedures. Part 3. Five-level design and its application in a polarographic reaction system for selenium determination. Analyst 120:273–279
Article
Google Scholar
Lee CY, Kang HG (2000) Cell planning with capacity expansion in mobile communications: a tabu search approach. IEEE Trans Veh Technol 49(5):1678–1691
Article
Google Scholar
Liu HL, Gu F, Cheung YM, Xie S, Zhang J (2014a) On solving WCDMA network planning using iterative power control scheme and evolutionary multiobjective algorithm. IEEE Comput Intell Mag 9(1):44–52
Article
Google Scholar
Liu HL, Gu F, Zhang Q (2014b) Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems. IEEE Trans Evol Comput 18(3):450–455
Article
Google Scholar
Mannino C, Rossi F, Smriglio S (2006) The network packing problem in terrestrial broadcasting. Oper Res 54(4):611–626
Article
MATH
Google Scholar
Martins F, Carrano E, Wanner E, Takahashi R, Mateus G (2011) A hybrid multiobjective evolutionary approach for improving the performance of wireless sensor networks. IEEE Sens J 11(3):545–554
Article
Google Scholar
Miettinen K (1999) Nonlinear multiobjective optimization, vol 12. Springer, Berlin
MATH
Google Scholar
Montgomery DC, Montgomery DC, Montgomery DC (1997) Design and analysis of experiments, vol 7. Wiley, New York
MATH
Google Scholar
Naoum-Sawaya J, Elhedhli S (2010) A nested benders decomposition approach for telecommunication network planning. Nav Res Logist 57(6):519–539
MathSciNet
Article
MATH
Google Scholar
Olinick EV, Rosenberger JM (2008) Optimizing revenue in CDMA networks under demand uncertainty. Eur J Oper Res 186(2):812–825
MathSciNet
Article
MATH
Google Scholar
Resende MG, Pardalos P (2008) Handbook of optimization in telecommunications. Springer, Berlin
Google Scholar
Yang J, Zhang J, Aydin ME, Wu JY (2007) A novel programming model and optimisation algorithms for WCDMA networks. In: Proceedings of IEEE 65th vehicular technology conference, pp 1182–1187
Zakrzewska A, D’Andreagiovanni F, Ruepp S, Berger MS (2013) Biobjective optimization of radio access technology selection and resource allocation in heterogeneous wireless networks. In: Proceeding of 11th international symposium on modeling and optimization in mobile, ad hoc and wireless networks, pp 652–658
Zeng H, Cheung YM (2009) A new feature selection method for gaussian mixture clustering. Pattern Recognit 42(2):243–250
Article
MATH
Google Scholar
Zeng H, Cheung YM (2011) Feature selection and kernel learning for local learning-based clustering. IEEE Trans Pattern Anal Mach Intell 33(8):1532–1547
Article
Google Scholar
Zeng H, Cheung YM (2012) Semi-supervised maximum margin clustering with pairwise constraints. IEEE Trans Knowl Data Eng 24(5):926–939
Article
Google Scholar
Zhang Q, Li H (2007) MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731
Article
Google Scholar
Zimmermann J, Höns R, Mühlenbein H (2003) ENCON: an evolutionary algorithm for the antenna placement problem. Comput Ind Eng 44(2):209–226
Article
Google Scholar
Zitzler E, Thiele L, Laumanns M, Fonseca CM, Da Fonseca VG (2003) Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans Evol Comput 7(2):117–132
Article
Google Scholar