2008 |
16 | EE | Isaac E. Lagaris,
Ioannis G. Tsoulos:
Stopping rules for box-constrained stochastic global optimization.
Applied Mathematics and Computation 197(2): 622-632 (2008) |
15 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris:
GenMin: An enhanced genetic algorithm for global optimization.
Computer Physics Communications 178(11): 843-851 (2008) |
2007 |
14 | EE | Konstantinos Blekas,
Isaac E. Lagaris:
Split-Merge Incremental LEarning (SMILE) of Mixture Models.
ICANN (2) 2007: 291-300 |
13 | EE | S. A. Sofianos,
G. J. Rampho,
H. Azemtsa Donfack,
Isaac E. Lagaris,
H. Leeb:
Design of quantum filters with pre-determined reflection and transmission properties.
Microelectronics Journal 38(2): 235-244 (2007) |
12 | EE | Konstantinos Blekas,
Isaac E. Lagaris:
Newtonian clustering: An approach based on molecular dynamics and global optimization.
Pattern Recognition 40(6): 1734-1744 (2007) |
2006 |
11 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris:
GenAnneal: Genetically modified Simulated Annealing.
Computer Physics Communications 174(10): 846-851 (2006) |
10 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris:
Genetically controlled random search: a global optimization method for continuous multidimensional functions.
Computer Physics Communications 174(2): 152-159 (2006) |
9 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris:
MinFinder: Locating all the local minima of a function.
Computer Physics Communications 174(2): 166-179 (2006) |
8 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris:
Solving differential equations with genetic programming.
Genetic Programming and Evolvable Machines 7(1): 33-54 (2006) |
2005 |
7 | EE | Konstantinos Blekas,
Nikolas P. Galatsanos,
Aristidis Likas,
Isaac E. Lagaris:
Mixture model analysis of DNA microarray images.
IEEE Trans. Med. Imaging 24(7): 901-909 (2005) |
2002 |
6 | EE | Ioannis G. Tsoulos,
Isaac E. Lagaris,
Aristidis Likas:
Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation.
SETN 2002: 314-324 |
1999 |
5 | | Aristidis Likas,
Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm.
Neural Processing Letters 9(2): 119-127 (1999) |
1998 |
4 | EE | Dimitris A. Karras,
Isaac E. Lagaris:
A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy.
EUROMICRO 1998: 20683-20687 |
3 | EE | Aristidis Likas,
Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
CoRR cs.NE/9812002: (1998) |
2 | EE | Isaac E. Lagaris,
Aristidis Likas,
D. G. Papageorgiou:
Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains
CoRR cs.NE/9812003: (1998) |
1 | EE | Isaac E. Lagaris,
Aristidis Likas,
Dimitrios I. Fotiadis:
Artificial neural networks for solving ordinary and partial differential equations.
IEEE Transactions on Neural Networks 9(5): 987-1000 (1998) |