Results 41 to 50 of about 242,339 (312)

Optimisation of constant matrix multiplication operation hardware using a genetic algorithm [PDF]

, 2006
The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems.
O'Connor, Noel E., Valentin Muresan, Andrew Kinane, O\u27Connor, Noel E., Muresan, Valentin, Noel O’Connor, Kinane, Andrew   +6 more
core   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

Molecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann, Eduardo García‐Galea, Alice O'Farrell, Zak Kinsella, Maxime Meylan, Florent Petitprez, Ingrid Arijs, Tom Venken, Hari Ps, Adrian Lärkeryd, Ian Miller, Janick Selves, Nadja Meindl‐Beinker, Fiorella Ruiz‐Pace, Elena Élez, Raquel Comas‐Navarro, Frank Lincoln, Dirk Fey, Gift Nyamundanda, Aoife Nolan, Joern Lewin, Raquel Perez‐Lopez, Jonathan Briody, Kathleen Bennett, Walter Kolch, David Matallanas, Alexander Kel, Enrique Arenas, Joaquín Arribas, Bart Ghesquière, Josep Tabernero, Julie Meilleroux, Deborah McNamara, Ray McDermott, Marvin Lim, Mary O'Reilly, Brian Bird, Lisa Stack, Lucia Moloney, Patrick Morris, Keith Egan, Maciej Milewski, Lars Scheuer, Joachim Behringer, Georg Bolz, Ramon Salazar, Cristina Santos, Andrea Ruiz, Orla Casey, Verena Murphy, Matthias Ebert, Livio Trusolino, Diether Lambrechts, Anguraj Sadanandam, Catherine Sautès‐Fridman, Jochen Prehn, Paolo Nuciforo, Jacques Fieschi, Florence Monville, Darran O'Connor, Wolf Fridman, Annette Byrne   +61 more
wiley   +1 more source

A self-organizing random immigrants genetic algorithm for dynamic optimization problems

, 2007
This is the post-print version of the article. The official published version can be obtained from the link below - Copyright @ 2007 SpringerIn this paper a genetic algorithm is proposed where the worst individual and individuals with indices close to ...
Yang, S, Tinos, Renato, Shengxiang Yang, Tinos, R, Yang, Shengxiang, Shengxiang Yang (7582940), Renato Tinos (7582937), Renato Tinós   +7 more
core   +1 more source

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm [PDF]

2010 20th International Conference on Pattern Recognition, 2010
Dissimilarities can be a powerful way to represent objects like strings, graphs and images for which it is difficult to find good features. The resulting dissimilarity space may be used to train any classifier appropriate for feature spaces. There is, however, a strong need for dimension reduction.
Yenisel Plasencia Calana, Edel B. García Reyes, Mauricio Orozco-Alzate, Robert P. W. Duin   +3 more
openaire   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

An improved genetic algorithm for optimizing ensemble empirical mode decomposition method

Systems Science & Control Engineering, 2019
This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang, Chaomin Cai, Shanying Chen, Liwen Ling   +3 more
doaj   +1 more source

Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm

Mathematics, 2022
Industrial control systems (ICS) are facing an increasing number of sophisticated and damaging multi-step attacks. The complexity of multi-step attacks makes it difficult for security protection personnel to effectively determine the target attack path ...
Xinzhan Li, Yang Zhou, Xin Li, Lijuan Xu, Dawei Zhao   +4 more
doaj   +1 more source

A novel genetic algorithm for evolvable hardware

, 2006
Evolutionary algorithms are used for solving search and optimization problems. A new field in which they are also applied is evolvable hardware, which refers to a self-configurable electronic system.
Lambert, C, Stomeo, E, Kalganova, T, E. Stomeo, T. Kalganova, C. Lambert   +5 more
core   +1 more source

Parameter Selection in Genetic Algorithms

Journal of Systemics, Cybernetics and Informatics, 2004
In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental design techniques. Appropriate levels of each parameter are proposed for a particular problem domain.
BOYABATLI, Onur, SABUNCUOGLU, Ihsan
openaire   +2 more sources

Boosting Genetic Algorithms with Self-Adaptive Selection [PDF]

2006 IEEE International Conference on Evolutionary Computation, 2006
In this paper we evaluate a new approach to selection in genetic algorithms (GAs). The basis of our approach is that the selection pressure is not a superimposed parameter defined by the user or some Boltzmann mechanism. Rather, it is an aggregated parameter that is determined collectively by the individuals in the population. We implement this idea in
Eiben, A.E., Schut, M.C., de Wilde, A.R.
openaire   +2 more sources