Results 71 to 80 of about 132,617 (313)

Multi-objective genetic programming with partial sampling and its extension to many-objective [PDF]

This paper describes a technique on an optimization of tree-structure data by of multi-objective evolutionary algorithm, or multi-objective genetic programming. GP induces bloat of the tree structure as one of the major problem.
100000475, 2786, 00263484, Ohki, Makoto
core   +1 more source

A pythagorean hesitant fuzzy programming approach and its application to multi objective reliability optimization problem [PDF]

Yugoslav Journal of Operations Research
Decision-making problems can often be effectively solved using traditional optimization methods that have a clearly defined configuration. However, in real-world scenarios, decision-makers frequently encounter doubt or hesitation, making it challenging ...
Jana Swarup, Islam Sahidul
doaj   +1 more source

A Synthesizing Effect-Based Solution Method for Stochastic Rough Multi-objective Programming Problems [PDF]

International Journal of Computational Intelligence Systems, 2014
Multi-objective programming with uncertain information has been widely applied in modeling of industrial produce and logistic distribution problems. Usually the expectation value model and chance-constrained model as solution models are used to deal with
Lei Zhou, Guoshan Zhang, Fachao Li
doaj   +1 more source

Multi-Objective region-Aware optimization of parallel programs [PDF]

Parallel Computing, 2019
Auto-tuning has become increasingly popular for optimizing non-functional parameters of parallel programs. The typically large search space requires sophisticated techniques to find well-performing parameter values in a reasonable amount of time. Different parts of a program often perform best with different parameter values.
Durillo, Juan J., Gschwandtner, Philipp, Kofler, Klaus, Fahringer, Thomas   +3 more
openaire   +2 more sources

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Resolution of the linear fractional goal programming problem

Rect@, 2010
This work deals with the resolution of the goal programming problem with linear fraccional criteria. The main difficulty of these problems is the non-linear constraints of the mathematical programming models that have to be solved.
Hernández, Mónica, Caballero, Rafael
doaj  

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Comparison of different Multiple-criteria decision analysis methods in the context of conceptual design: application to the development of a solar collector structure [PDF]

, 2014
At each stage of the product development process, the designers are facing an important task which consists of decision making. Two cases are observed: the problem of concept selection in conceptual design phases and, the problem of pre-dimensioning once
EL AMINE, Mehdi, PAILHES, Jerome, PERRY, Nicolas   +2 more
core  

Multi‐objective interval type‐2 fuzzy linear programming problem with vagueness in coefficient

CAAI Transactions on Intelligence Technology
One of the most widely used fuzzy linear programming models is the multi‐objective interval type‐2 fuzzy linear programming (IT2FLP) model, which is of particular importance due to the simultaneous integration of multiple criteria and objectives in a ...
Shokouh Sargolzaei, Hassan Mishmast Nehi
doaj   +1 more source

A Two-Stage Multi-objective Programming Model to Improve the Reliability of Solution

International Journal of Computational Intelligence Systems, 2020
Randomness is a common uncertainty encountered in practical multi-objectives decision-making. But it is always a challenge for decision-makers to process randomness in multi-objective programming problems.
Chenxia Jin, Fachao Li, Kaixin Feng, Yunfeng Guo   +3 more
doaj   +1 more source