Results 41 to 50 of about 6,017,267 (341)

An Experimental Study of Adaptive Control for Evolutionary Algorithms [PDF]

, 2014
The balance of exploration versus exploitation (EvE) is a key issue on evolutionary computation. In this paper we will investigate how an adaptive controller aimed to perform Operator Selection can be used to dynamically manage the EvE balance required ...
di Tollo, Giacomo, Lardeux, Frédéric, Maturana, Jorge, Saubion, Frédéric   +3 more
core   +5 more sources

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]

, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.), Blackwell, Tim M.   +2 more
core  

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm

Journal of Applied Mathematics, 2013
A distribution generation (DG) multiobjective optimization method based on an improved Pareto evolutionary algorithm is investigated in this paper. The improved Pareto evolutionary algorithm, which introduces a penalty factor in the objective function ...
Wanxing Sheng, Ke-yan Liu, Yongmei Liu, Xiaoli Meng, Xiaohui Song   +4 more
doaj   +1 more source

Improved MOEA/D Algorithm Based on Adaptive Neighborhood Strategy [PDF]

Jisuanji gongcheng, 2019
Traditional Multi-objective Evolutionary Algorithm based on Decomposition(MOEA/D)uses the fixed neighborhood scale,which reduces the population evolution efficiency.To solve this problem,an improved algorithm based on the Adaptive Neighborhood Strategy ...
GENG Huantong,HAN Weimin,DING Yangyang,ZHOU Shansheng
doaj   +1 more source

An Evolutionary Algorithm to Optimize Log/Restore Operations within Optimistic Simulation Platforms [PDF]

, 2011
In this work we address state recoverability in advanced optimistic simulation systems by proposing an evolutionary algorithm to optimize at run-time the parameters associated with state log/restore activities.
PELLEGRINI, ALESSANDRO, QUAGLIA, Francesco, VITALI, Roberto   +2 more
core   +1 more source

A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization

IEEE Transactions on Evolutionary Computation, 2020
In this article, a new hypervolume-based evolutionary multiobjective optimization algorithm (EMOA), namely, R2HCA-EMOA (R2-based hypervolume contribution approximation EMOA), is proposed for many-objective optimization.
Ke Shang, H. Ishibuchi
semanticscholar   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

Ant colony optimisation and local search for bin-packing and cutting stock problems [PDF]

, 2003
The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Bauer A, Bilchev G, Bonabeau E, Coffman EG, Dorigo M, Falkenauer E, Gambardella L, Hinterding R, Leguizamon G, Martello S, Michel R, Stützle T, Winston WL   +12 more
core   +2 more sources

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

Molecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez, Pablo Juanes‐Velasco, Marina L. García‐Vaquero, Conrad Droste, Alicia Landeira‐Viñuela, Miguel Alcoceba, Helena Fidalgo‐Gómez, Sara Misiego‐Herrero, Almudena Navarro‐Bailón, Mónica Baile, José M. Bastida, Jose Manuel Sanchez‐Santos, Rafael Góngora, Julia Almeida, Marcos Gonzalez‐Diaz, Alberto Orfao, Javier De Las Rivas, Manuel Fuentes   +17 more
wiley   +1 more source