Results 51 to 60 of about 616,628 (303)

CIOA: Circle-Inspired Optimization Algorithm, an algorithm for engineering optimization

SoftwareX, 2022
This paper presents a new, robust and very efficient metaheuristic optimization algorithm, called Circle Inspired Optimization Algorithm (CIOA), for solving constrained and unconstrained engineering optimization problems. The inspiration for the proposed
Otávio Augusto Peter de Souza, Letícia Fleck Fadel Miguel   +1 more
doaj   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Active Exploration by Chance-Constrained Optimization for Voltage Regulation with Reinforcement Learning

Energies, 2022
Voltage regulation in distribution networks encounters a challenge of handling uncertainties caused by the high penetration of photovoltaics (PV). This research proposes an active exploration (AE) method based on reinforcement learning (RL) to respond to
Zhenhuan Ding, Xiaoge Huang, Zhao Liu
doaj   +1 more source

Exploiting symmetries in SDP-relaxations for polynomial optimization

, 2012
In this paper we study various approaches for exploiting symmetries in polynomial optimization problems within the framework of semi definite programming relaxations.
Barvinok AI, Barvinok AI, Bröcker L, Cordian Riener, Dixon JD, Henrion D, James G, Jean B. Lasserre, Lasserre JB, Lina Jansson Andrén, Serre J-P, The GAP Group, Thorsten Theobald   +12 more
core   +3 more sources

Constrained Consensus-Based Optimization

SIAM Journal on Optimization, 2023
In this work we are interested in the construction of numerical methods for high dimensional constrained nonlinear optimization problems by particle-based gradient-free techniques. A consensus-based optimization (CBO) approach combined with suitable penalization techniques is introduced for this purpose.
Giacomo Borghi, Michael Herty, Lorenzo Pareschi   +2 more
openaire   +4 more sources

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Constrained Bayesian Optimization: A Review

IEEE Access
Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box functions.
Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez   +2 more
doaj   +1 more source

Guided Hybrid Modified Simulated Annealing Algorithm for Solving Constrained Global Optimization Problems

Mathematics, 2022
In this paper, a hybrid gradient simulated annealing algorithm is guided to solve the constrained optimization problem. In trying to solve constrained optimization problems using deterministic, stochastic optimization methods or hybridization between ...
Khalid Abdulaziz Alnowibet, Salem Mahdi, Mahmoud El-Alem, Mohamed Abdelawwad, Ali Wagdy Mohamed   +4 more
doaj   +1 more source

Computer program for parameter optimization [PDF]

, 1968
Flexible, large scale digital computer program was designed for the solution of a wide range of multivariable parameter optimization problems.
Glatt, C. R., Hague, D. S.
core   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source