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Mostrando ítems 1-10 de 10
Artículo
Solving Molecular Docking Problems with Multi-Objective Metaheuristics
(MDPI, 2015)
Molecular docking is a hard optimization problem that has been tackled in the past with metaheuristics, demonstrating new and challenging results when looking for one objective: the minimum binding energy. However, only a ...
Artículo
Multi-objective ligand-protein docking with particle swarm optimizers
(Elsevier, 2019)
In the last years, particle swarm optimizers have emerged as prominent search methods to solve the molecular docking problem. A new approach to address this problem consists in a multi-objective formulation, minimizing the ...
Artículo
Molecular Docking Optimization in the Context of Multi-Drug Resistant and Sensitive EGFR Mutants
(MDPI, 2016)
The human Epidermal Growth Factor (EGFR) plays an important role in signaling pathways, such as cell proliferation and migration. Mutations like G719S, L858R, T790M, G719S/T790M or T790M/L858R can alter its conformation, ...
Artículo
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources
(Elsevier, 2022-03)
The rapid increase of human activities with direct influence on the environment has motivated the global awareness of the need to efficiently monitor the natural resources. Among the wide range of problems addressed, such ...
Artículo
Multi-objective integration of timetables, vehicle schedules and user routings in a transit network
(Elsevier, 2017)
The Transit Network Timetabling and Scheduling Problem (TNTSP) aims at determining anoptimal timetable for each line of a transit network by establishing departure and arrivaltimes at each station and allocating a vehicle ...
Ponencia
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
(Springer, 2016)
Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ...
Artículo
Context-dependent transformation of Pareto-optimal performance fronts of operational amplifiers
(Springer, 2012)
The use of Pareto-optimal performance fronts in emerging design methodologies for analog integrated circuits is a keystone to overcome the limitations of traditional design methodologies. However, most techniques to generate ...
Artículo
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems
(IEEE Computer Society, 2010)
To evaluate the search capabilities of a multiobjective algorithm, the usual approach is to choose a benchmark of known problems, to perform a fixed number of function evaluations, and to apply a set of quality indicators. ...
Ponencia
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
(Springer, 2016)
Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ...
Artículo
Inference of gene regulatory networks with multi-objective cellular genetic algorithm
(Elsevier, 2019)
Reverse engineering of biochemical networks remains an important open challenge in computational systems biology. The goal of model inference is to, based on time-series gene expression data, obtain the sparse ...