| 2009 |
14 | | Andrew Runka,
Beatrice M. Ombuki-Berman,
Mario Ventresca:
A search space analysis for the waste collection vehicle routing problem with time windows.
GECCO 2009: 1813-1814 |
| 2008 |
13 | | Hamid R. Tizhoosh,
Mario Ventresca:
Oppositional Concepts in Computational Intelligence
Springer 2008 |
12 | | Mario Ventresca,
Hamid R. Tizhoosh:
Numerical condition of feedforward networks with opposite transfer functions.
IJCNN 2008: 3233-3240 |
11 | | Hamid R. Tizhoosh,
Mario Ventresca:
Introduction.
Oppositional Concepts in Computational Intelligence 2008: 1-8 |
10 | | Hamid R. Tizhoosh,
Mario Ventresca,
Shahryar Rahnamayan:
Opposition-Based Computing.
Oppositional Concepts in Computational Intelligence 2008: 11-28 |
9 | | Mario Ventresca,
Hamid R. Tizhoosh:
Two Frameworks for Improving Gradient-Based Learning Algorithms.
Oppositional Concepts in Computational Intelligence 2008: 255-284 |
8 | | Mario Ventresca,
Hamid R. Tizhoosh:
A diversity maintaining population-based incremental learning algorithm.
Inf. Sci. 178(21): 4038-4056 (2008) |
| 2007 |
7 | | Mario Ventresca,
Hamid R. Tizhoosh:
Simulated Annealing with Opposite Neighbors.
FOCI 2007: 186-192 |
6 | | Beatrice M. Ombuki-Berman,
Mario Ventresca:
Search Difficulty of Two-Connected Ring-based Topological Network Designs.
FOCI 2007: 267-274 |
5 | | Mario Ventresca,
Hamid R. Tizhoosh:
Opposite Transfer Functions and Backpropagation Through Time.
FOCI 2007: 570-577 |
| 2006 |
4 | | Mario Ventresca,
Beatrice M. Ombuki-Berman:
Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks.
IJCNN 2006: 4514-4521 |
3 | | Mario Ventresca,
Hamid R. Tizhoosh:
Improving the Convergence of Backpropagation by Opposite Transfer Functions.
IJCNN 2006: 4777-4784 |
| 2005 |
2 | | Mario Ventresca,
Beatrice M. Ombuki:
A Genetic Algorithm for the Design of Minimum-cost Two-connected Networks with Bounded Rings.
International Journal of Computational Intelligence and Applications 5(2): 267-281 (2005) |
| 2004 |
1 | | Beatrice M. Ombuki,
Mario Ventresca:
Local Search Genetic Algorithms for the Job Shop Scheduling Problem.
Appl. Intell. 21(1): 99-109 (2004) |