Toward Optimal Mapping Scheme in Large Scale Optimization by Considering Interaction among Variables and Imbalance Effects of Variables on the Objective Function
S. Mahdavi, S. Rahnamayan, M. E. Shiri, Toward Optimal Mapping Scheme in Largescale Optimization by Considering Interaction among Variables and Imbalance Effects of Variables on the Objective Function [under review].
Exergetic Optimization of Two Renewable Energy Based Tri-generation Systems Using Genetic Algorithm
M. Malik, M. Al Ali, I. Dincer, S. Rahnamayan, Exergetic Optimization of Two Renewable Energy Based Tri-generation Systems Using Genetic Algorithm, Springer-Verlag, April 2014, pp. 79-102.
Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
F. Bourennani, S. Rahnamayan, Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors, Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, IGI Global Publisher, pp. 60-80, 2012.
The Use of Opposition for Decreasing Function Evaluations in Population-based Search
M. Ventresca, S. Rahnamayan, H.R. Tizhoosh, The Use of Opposition for Decreasing Function Evaluations in Population-based Search, Computational Intelligence in Expensive Optimization Problems, Springer-Verlag, pp. 49-71, 2009.
Opposition-Based Differential Evolution,
S. Rahnamayan, H.R. Tizhoosh, M.M.A Salama, Opposition-Based Differential Evolution Advances in Differential Evolution, Series: Studies in Computational Intelligence, Springer-Verlag, ISBN: 978-3-540-68827-3, pp. 155-171, 2008.
Differential Evolution via Exploiting Opposite Populations
S. Rahnamayan, H.R. Tizhoosh, M.M.A Salama, Differential Evolution via Exploiting Opposite Populations Oppositional Concepts in Computational Intelligence, Series: Studies in Computational Intelligence, Springer-Verlag, ISBN: 978-3-540-70826-1, pp. 143-160, 2008.
Opposition-Based Computing
H.R. Tizhoosh, M. Ventresca, S. Rahnamayan, Opposition-Based Computing Oppositional Concepts in Computational Intelligence, Series: Studies in Computational Intelligence, Springer-Verlag, ISBN: 978-3-540-70826-1, pp. 11-28, 2008.
Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images
S. Rahnamayan, H.R. Tizhoosh, M.M.A Salama, Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images, Springer Lecture Notes in Computer Science Series, ISSN: 0302-9743, pp. 930-937, 2005.