LIST OF PUBLICATIONS


Ph.D. Thesis , 1981, University of Illinois at Urbana-Champaign.
Nuclear matter with realistic Hamiltonians.


ARTICLES IN REFEREED JOURNALS

1) Variational calculation of models of nuclear and neutron matter.
Nucl. Phys. A328, 113-126 (1979) (with V.R. Pandharipande and R.B. Wiringa).

2) Variational calculations of V-8 models of nuclear matter.
Nucl. Phys. A334, 217-228 (1980) (with V.R. Pandharipande).

3) Phenomenological two-nucleon interaction operator.
Nucl. Phys. A359 , 331-348 (1981) (with V.R. Pandharipande).

4) Variational calculations of realistic models of nuclear matter.
Nucl. Phys. A359, 349-364 (1981) (with V.R. Pandharipande).

5) Variational calculations of assymetric nuclear matter.
Nucl. Phys. A369, 470-482 (1981) (with V.R. Pandharipande).

6) Calculation of high- order operator terms in variational many-body theories.
Anales de Fisica Serie A Vol. 81 Num. 1 (Especial) 39-45 (1985).

7) Analysis of (n,n) and (d,p) reactions on the same target using Phase- Equivalent potentials.
Z. Phys. A. Atoms and Nuclei 321, 149-153 (1985) (with G. Pantis).

8) Microscopic calculation of the Enhancement factor in the electric dipole sum rule.
Physics Letters B Vol.156, 277-282 (1985) (with A.Fabrocini, M. Viviani and S.Fantoni).

9) MERLIN a portable system for multidimensional minimization.
Comp. Phys. Comm. 46(1987) 401(with G.A.Evangelakis,J.P.Rizos and I.N.Demetropoulos)

10) A theoretical model for the cathodoluminescense of granular phosphor screens
Journal of Applied Physics 64(1988) 5106 (with G.E.Giakoumakis)

11) MCL - Optimization Oriented Programming Language
Comp. Phys. Comm.52 (1989) 223 (with C.S.Chassapis & D.G.Papageorgiou )

12) MERLIN - 2.0 Enhanced and programmable version
Comp. Phys. Comm.52 (1989) 241 (with D.G.Papageorgiou & C.S.Chassapis)

13) Merlin 2.1 Double precision
Comp. Phys. Comm. 58(1990)119 (with D.G.Papageorgiou )

14) A theoretical model for the X-ray luminescense of granular phosphor screens.
Journal of Applied Physics 69(1991)6607 (with G.E.Giakoumakis, M.C.Katsarioti &G.Panayiotakis)

15) Nucleation field of the infinite ferromagnetic circular cylinder at high temperature
Mathematical and computer modeling 16(1992) 59 ( with P.A. Voltairas and C.V. Massalas )

16) Model calculations of doubly closed shell nuclei in cbf theory (I)
Nuclear Phys. A549 (1992) 439 (with G. Co', A. Fabrocini and S. Fantoni )

17) Generalised resonance modes in Ferromagnetic Spheres
Int. Journal Eng. Sci. 31(1993) 1391 ( with P.A. Voltairas and C.V. Massalas )

18) An efficient method for calculating three-dimensional convolution type of integrals.
Comp. Phys. Commun.76(1993) 80 ( with D.G. Papageorgiou )

19) Modification of phonon spectral densities of the (001) copper surface due to copper adatoms by molecular dynamics simulation.
Surf. Sc. Letters 337 (1995)819 (with N. I. Papanicolaou and G. A. Evangelakis)

20) How many Conformers of the 1,2,3-Propanetriol Triacetate are present in Gas phase and in Aqueus Solution
Tetrahedron 52(1996)677 (with D.G. Papageorgiou , I.N. Demetropoulos and P.T. Papadimitriou )

21) An efficient Chebychev-Lanczos Method for obtaining Eigen Solutions of the Schroedinger Eq. on a grid
J. Comp. Phys.126 (1996)315-327 (with M. Braun, S A Sofianos, D.G. Papageorgiou)

22) A relaxation method for non-local and non-Hermitian operators
J. Comp. Phys. 126(1996)229-236 (with D.G. Papageorgiou , M. Braun and S A Sofianos)

23) Artificial neural network methods in quantum mechanics
Comput. Phys. Commun. 104(1997)1-14 ( with A. Likas and D. I. Fotiadis)

24) Artificial neural networks for solving ordinary and partial differential equations.
IEEE Transactions on Neural Networks 9(1998)987-1000 (with A. Likas and D. I. Fotiadis)

25) MERLIN-3.0 A multidimensional optimization environment
Comput. Phys. Commun. 109(1998)227-249 (with D. G. Papageorgiou and I. N. Demetropoulos) (Merlin user's manual)

26) The Merlin Control Language for strategic optimization
Comput. Phys. Commun. 109(1998)250-275 (with D. G. Papageorgiou and I. N. Demetropoulos)

27) Neural network training and simulation using a multidimensional optimization system.
International Journal of Computer Mathematics 67(1998)33-46 (with A. Likas and D. A. Karras)

28) Importance of two-body correlations in the 4He molecules
Il Nuovo Cimento 113B(1998)561-573 (with M. Braun, S A Sofianos, D.G. Papageorgiou)

29) Training reinforcement neurocontrollers using the polytope algorithm
Neural Processing Letters 9(1999)119-127 (with A. Likas)

30) Neural Network methods for boundary value problems with irregular boundaries.
IEEE Transactions on Neural Networks 11(2000)1041 (with A. Likas and D. G. Papageorgiou)

31) Forbidden states and the three-body bound state collapse
Physical Review C 63(2001) (with G. Pantis and S. A. Sofianos)

32) On the muon-nucleus integrals entering the neutrinoless .- . e- conversion rates
Journal of Physics G:Nucl. Part. Phys. 28 (2002) 2907-2920 (with T. S. Kosmas)

33) MERLIN a versatile optimization environment applied to the design of metallic alloys and intermetallic compounds.
Computational Materials Science 28 (2003) 125-133 (With D.G. Papageorgiou, N.I. Papanicolaouc, G. Petsos, H.M. Polatoglou)

34) A portable decision making tool for health professionals based on neural networks
Health Informatics Journal 9 (2003) 273-282 ( with F. Vartziotis, D.I. Fotiadis, A. Likas)

35) Merlin-3.1.1 A new version of the Merlin Optimization Environment
Computer Physics Communications 159 (2004) 70-71 (with D. G. Papageorgiou and I. N. Demetropoulos)

36) PANMIN: Sequential and Parallel Global Optimization Procedures with a variety of options for the Local Search Strategy
Computer Physics Communications 159 (2004) 63-69 (with D. G. Papageorgiou and F. V. Theos) PANMIN Manual

37) A Spatially Constrained Mixture Model for Image Segmentation
IEEE Transactions on Neural Networks 16 (2005) 494-498 (with K. Blekas, A. Likas, N. P. Galatsanos)

38) Neural Splines: Exploiting Parallelism for Function approximation Using Modular Neural Networks
Neural, Parallel and Scientific Computations 13 (2005) 161-178 (with I. G. Tsoulos, A. Likas)

39) Mixture Model Analysis of DNA Microarray Images
IEEE Transactions on Medical Imaging, (2005) 901-909 (with K. Blekas, N. P. Galatsanos, A. Likas)

40) Genetically controlled random search: a global optimization method for continuous multidimensional functions
Computer Physics Communications 174 (2006) 152-159 (with Ioannis G. Tsoulos)

41) MinFinder: Locating all the local minima of a function
Computer Physics Communications 174 (2006) 166-179 (with Ioannis G. Tsoulos)

42) Solving Differential equations with Genetic Programming
Genetic Programming & Evolvable Machines 7 (2006) 33-54 (with Ioannis G. Tsoulos)

43) GenAnneal: Genetically modified Simulated Annealing
Computer Physics Communications 174 (2006) 846-851 (with Ioannis G. Tsoulos)

44) A Global Optimization Approach to Neural Network Training .
Neural, Parallel & Scientific Computations 14 (2006) 231-240 (With C. Voglis)

45) Mechanical properties of nano-grained Zr2Ni systems by molecular dynamics simulations
Journal of Alloys and Compounds 434-435 (2007) 546-549
(With G.A. Evangelakis, D.G. Papageorgiou and Ch.E. Lekka)

46) Design of Quantum Filters with Pre-determined Reflection and Transmission Properties
Microelectronics Journal 38 (2007)235-244 (With S. A. Sofianos, G.J. Rampho, H. A. Donfack & H. Leeb)

47) Newtonian clustering: An approach based on molecular dynamics and global optimization
Pattern Recognition 40 (2007) 1734-1744 (With K. Blekas)

48) Global minimization in few-body systems
Nuclear Physics, 790 (2007) 655-658 (with C. Voglis, M.L. Lekala, G.J. Rampho and S.A. Sofianos)

49) Stopping rules for box-constrained stochastic global optimization
Appl. Math. Comput. 197 (2008) 622-632 (with I. Tsoulos)

50) GenMin: An enhanced genetic algorithm for global optimization
Computer Physics Communications 178 (2008)843-851, (with I.G. Tsoulos)

51) MinFinder v2.0: An improved version of MinFinder
Computer Physics Communications 179(2008)614, (with Ioannis Tsoulos)

52) A numerical differentiation library exploiting parallel architectures
Computer Physics Communications 180(2009)1404-1415, (with C. Voglis, P.E. Hadjidoukas and D. G. Papageorgiou)

53) Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain
Appl. Math. Comput. 213(2009)216-229, (with C. Voglis)

54) One-Dimensional Inverse Scattering Problem in Acoustics
Brazilian Journal of Physics (2011) 41, 248-257 (DOI 10.1007/s13538-011-0039-9) (with D. Gerogiannis, S.A. Sofianos, G.A. Evangelakis)

55) MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches
Computer Physics Communications 183 (2012) 1139 1154 (with C. Voglis, D. G. Papageorgiou, K.E. Parsopoulos, M. N. Vrahatis)

56) Particle Swarm Optimization with Deliberate Loss of Information
Soft Computing 16 (2012)1373-1392 {(28 March 2012), pp. 1-20, doi:10.1007/s00500-012-0841-5} (with C. A. Voglis, K. E. Parsopoulos)

57) A Spectral Clustering Approach Based on Newton's Equations of Motion
International Journal of Intelligent systems 28 (2013) 394-410 (with K. Blekas )

58) A parallel hybrid optimization algorithm for fitting interatomic potentials
Applied Soft Computing 13 (2013) 4481-4492 (with C. Voglis, P.E. Hadjidoukas and D. G. Papageorgiou)

59) "Supporting adaptive and irregular parallelism for non-linear numerical optimization"
Applied Mathematics and Computation 231 (2014) 544-559 (with C. Voglis, P.E. Hadjidoukas, V. Dimakopoulos and D. G. Papageorgiou)

60) NDL-v2.0: Anew version of the numerical differentiation library for parallel architectures
Computer Physics Communications 185 (2014) 2217-2219 (with P. E. Hadjidoukas, P. Angelikopoulos, C. Voglis, D. G. Papageorgiou)

61) p-MEMPSODE: Parallel and Irregular Memetic Global Optimization
Computer Physics Communications 197 (2015) 190-211 (with C. Voglis, P. E. Hadjidoukas,K.E. Parsopoulos, D. G. Papageorgiou and M.N. Vrahatis)
DOI link

62) Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions
International Journal on Artificial Intelligence Tools 29 (2020) 2050009 (12 pages), (with Pola Lydia Lagari, Lefteri H. Tsoukalas, and Salar Safarkhani)

63) Variance Counter Balancing for Stochastic Large-scale Learning
International Journal on Artificial Intelligence Tools 29 (2020) 2050010 (10 pages), (with Pola Lydia Lagari and Lefteri H. Tsoukalas)

64) Functionally weighted neural networks: frugal models with high accuracy
SN Applied Sciences (2020) 2:1954 | https://doi.org/10.1007/s42452-020-03713-y (with K. Blekas)

65) A Hybrid Numerical-Experimental Method for Determining Thermal Conductivities
Journal of Heat Transfer, 2021 Vol. 143/ 011702-1, (with G. A. Evangelakis, D. G. Papageorgiou, K. Prouskas, A..E. Zisopoulou)

66) Graphene-Based Phase Change Composite Nano-Materials for Thermal StorageApplications
Energies 2022, 15, 1192. https://doi.org/10.3390/en15031192 (with Tselepi, M.; Prouskas, C.; Papageorgiou, D.G.; Evangelakis, G.A.)

67) Effect of fins and nanoparticles in the discharge performance of PCM thermal storage system with a multi pass finned tube heat exchange
Applied Thermal Engineering 212(2022) 118569 (with J. Pássaro, A.Rebola, L.Coelho, J.Conde, G.A.Evangelakis, C.Prouskas, D.G.Papageorgiou, A.Zisopoulou)

68) Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning /
Applied Soft Computing, Volume 142 (2023) 110331 (with D. G. Triantali and K.E. Parsopoulos)
Local copy

69) SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning/
Software Impacts 17 (2023) 100526 (with D. G. Triantali and K.E. Parsopoulos)
Local copy

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Articles in arXiv

  1. Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending or (Local copy)

Conference list since 2004

  1. C. Voglis and I.E. Lagaris, A Hybrid method for neural network training
    6th International Workshop on Mathematical methods in Scattering Theory and Biomedical Engineering , Tsepelovo, Greece, 2004.
  2. C. Voglis and I. E. Lagaris, BOXCQP: An Algorithm for Bound Constrained Convex Quadratic Problems
    1st International Conference "From Scientific Computing to Computational Engineering" , Athens, Greece, 2004. (pdf)
  3. M.G. Tsipouras, C. Voglis, I.E. Lagaris and D.I. Fotiadis, A Framework for Fuzzy Expert System Creation
    7th International Workshop on Mathematical Methods in Scattering Theory and Biomedical Technology , Nymfaio, Greece, 2005.
  4. M.G. Tsipouras,  C. Voglis, I.E. Lagaris and D.I. Fotiadis, Cardiac arrythmia classification using support vector machines
    The 3rd European Medical and Biological Engineering Conference , Prague, 2005.
    (pdf)
  5. C. Voglis and I. E. Lagaris, Smeenos: A Clustered Particle Swarm Algorithm for Recovering the Local Minima of a Function
    Optimization 2007 , Porto, Portugal, 2007.
    (ppt)
  6. C. Voglis and I. E. Lagaris, Global Optimization by Adaptively Estimating the Probability for Local Search
    Optimization 2007 , Porto, Portugal, 2007.
    (ppt)
  7. N. Kyrgios C. Voglis and I. E. Lagaris, Multistart Optimization with a Trainable Decision Maker for Avoiding High-Valued Local Minima
    3rd IC-EpsMsO, Athens, 8-11 July 2009.
    (pdf)
  8. C. Voglis , P.E. Hadjidoukas, V.V. Dimakopoulos, I.E. Lagaris, Task-parallel global optimization with application to protein folding
    High Performance Computing and Simulation (HPCS 2011), 186-192, 2011.
  9. P.E. Hadjidoukas, C. Voglis , V.V. Dimakopoulos, I.E. Lagaris, High-performance numerical optimization on multicore clusters
    Euro-Par 2011 Parallel Processing , 353-364, 2011.
  10. C. Voglis , G.S. Piperagkas, K.E. Parsopoulos, D.G. Papageorgiou and I.E. Lagaris MEMPSODE: Comparing Particle Swarm Optimization and Differential Evolution Within a Hybrid Memetic Global Optimization Framework
    GECCO 2012:Genetic and Evolutionary Computation Conference (BBOB 2012 Workshop) , Philadelphia, 2012.
    (pdf)
  11. C. Voglis , G.S. Piperagkas, K.E. Parsopoulos, D.G. Papageorgiou and I.E. Lagaris MEMPSODE: An Empirical Assessment of Local Search Algorithm Impact on a Memetic Algorithm Using Noiseless Testbed
    GECCO 2012:Genetic and Evolutionary Computation Conference (BBOB 2012 Workshop) , Philadelphia, 2012.
    (pdf)
  12. C. Voglis , P.E. Hadjidoukas, K.E. Parsopoulos, D.G. Papageorgiou and I.E. Lagaris, Adaptive Memetic Particle Swarm Optimization with Variable Local Search Pool Size
    GECCO 2013:Genetic and Evolutionary Computation Conference , Amsterdam, 2013.
    (pdf)
  13. C. Voglis , D.E. Papageorgiou and I.E. Lagaris Concurrent nomadic and bundle search: A class of parallel algorithms for local optimization
    10th International Conference on Parallel Processing and Applied Mathematics (PPAM 2013), Warsaw 2013.
    (pdf)
  14. K. Blekas and I. E. Lagaris, Artificial neural networks with an infinite number of nodes
    IOP Conf. Series: Journal of Physics: Conf. Series 915 (2017) 012006
    (pdf)