# Adil M. Bagirov

According to our database

Collaborative distances:

^{1}, Adil M. Bagirov authored at least 77 papers between 2000 and 2020.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2020

A biased-randomised algorithm for the capacitated facility location problem with soft constraints.

J. Oper. Res. Soc., 2020

Int. J. Inf. Sec., 2020

Int. J. Comput. Sci. Eng., 2020

New gene selection algorithm using hypeboxes to improve performance of classifiers.

Int. J. Bioinform. Res. Appl., 2020

Eur. J. Oper. Res., 2020

Proceedings of the Australasian Computer Science Week, 2020

2019

Optim. Methods Softw., 2019

Comput. Intell., 2019

Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018

Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming.

SIAM J. Optim., 2018

Pattern Recognit., 2018

Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms.

Optim. Methods Softw., 2018

Preface of the special issue: the 6th International Conference on Optimization and Control with Applications (6th OCA).

Optim. Lett., 2018

Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations.

J. Glob. Optim., 2018

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017

Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails.

Neural Process. Lett., 2017

A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes.

J. Glob. Optim., 2017

Eur. J. Oper. Res., 2017

2016

Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.

Pattern Recognit., 2016

Neural Process. Lett., 2016

An Algorithm for Clustering Using <i>L</i><sub>1</sub>-Norm Based on Hyperbolic Smoothing Technique.

Comput. Intell., 2016

2015

Optim. Lett., 2015

Mach. Learn., 2015

Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems.

J. Optim. Theory Appl., 2015

J. Glob. Optim., 2015

J. Glob. Optim., 2015

J. Exp. Theor. Artif. Intell., 2015

Comput. Optim. Appl., 2015

Artif. Intell. Res., 2015

2014

A convolutional recursive modified Self Organizing Map for handwritten digits recognition.

Neural Networks, 2014

Preface of the special issue OR: connecting sciences supported by global optimization related to the 25th European conference on operational research (EURO XXV 2012).

J. Glob. Optim., 2014

J. Comput. Appl. Math., 2014

Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

2013

An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling.

Math. Comput. Model., 2013

J. Optim. Theory Appl., 2013

Nonsmooth nonconvex optimization approach to clusterwise linear regression problems.

Eur. J. Oper. Res., 2013

2012

Optim. Methods Softw., 2012

2011

Pattern Recognit., 2011

Pattern Anal. Appl., 2011

J. Glob. Optim., 2011

An efficient algorithm for the incremental construction of a piecewise linear classifier.

Inf. Syst., 2011

A novel hybrid neural learning algorithm using simulated annealing and quasisecant method.

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2010

IEEE Trans. Inf. Theory, 2010

Optim. Methods Softw., 2010

An algorithm for the estimation of a regression function by continuous piecewise linear functions.

Comput. Optim. Appl., 2010

2009

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

IEEE Trans. Inf. Theory, 2009

2008

Pattern Recognit., 2008

An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization.

Math. Methods Oper. Res., 2008

2007

Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006

Piecewise Partially Separable Functions and a Derivative-free Algorithm for Large Scale Nonsmooth Optimization.

J. Glob. Optim., 2006

A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method.

Int. J. Neural Syst., 2006

A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.

Eur. J. Oper. Res., 2006

Proceedings of the Advances in Data Mining, 2006

2005

Optim. Methods Softw., 2005

Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients.

J. Manag. Inf. Syst., 2005

J. Glob. Optim., 2005

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks.

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches.

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004

Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004

2003

J. Glob. Optim., 2003

New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.

Bioinform., 2003

Parallelization of the Discrete Gradient Method of Non-smooth Optimization and Its Applications.

Proceedings of the Computational Science - ICCS 2003, 2003

An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia.

Proceedings of the Computational Science - ICCS 2003, 2003

Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002

Optim. Methods Softw., 2002

Optim. Methods Softw., 2002

A method of truncated codifferential with application to some problems of cluster analysis.

J. Glob. Optim., 2002

2001

Global Optimization of Marginal Functions with Applications to Economic Equilibrium.

J. Glob. Optim., 2001

A Global Optimization Approach to Classification in Medical Diagnosis and Prognosis.

Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000

Global Minimization of Increasing Positively Homogeneous Functions over the Unit Simplex.

Ann. Oper. Res., 2000