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Parallel hyper-heuristics for process engineering optimization
(Pergamon-Elsevier Science Ltd, 2021-10)
This paper presents the general framework of a parallel cooperative hyper-heuristic optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and inequality constraints. The algorithm comprises the ...
SOCH. An ML-based pipeline for PET automatic segmentation by heuristic algorithms means
(Elsevier Ltd, 2020-01)
Nowadays, nuclear medicine procedures have become a standard for several pathologies, both for diagnosis and therapeutic purposes. Also, regarding therapeutic applications, the demand for novel techniques and new radioisotopes ...
An ACO approach for the parallel machines scheduling problem
(Sociedad Iberoamericana de Inteligencia Artificial, 2010-06)
The parallel machines scheduling problem (PMSP) comprises the allocation of jobs on the resources of the systems, i.e., a group of machines in parallel. The basic model consists of m identical machines and n jobs. The jobs ...
Applying MILP/Heuristic Algorithms to Automated Job-Shop Scheduling Problems in Aircraft-Part Manufacturing
(Universidad Federal de Santa Catarina. Centro Tecnológico. Programa de Postgrado en Ingeniería de Producción, 2014-04)
This work presents efficient algorithms based on Mixed-Integer LinearProgramming (MILP) and heuristic strategies for complex job-shop scheduling problemsraised in Automated Manufacturing Systems. The aim of this work is ...
A Self-Adaptive Contractive Algorithm for Enhanced Dynamic Phasor Estimation
(Institute of Electrical and Electronics Engineers, 2020-05)
In this paper, a self-adaptive contractive (SAC) algorithm is proposed for enhanced dynamic phasor estimation in the diverse operating conditions of modern power systems. At a high-level, the method is composed of three ...
A tabu search heuristic for the equitable coloring problem
(Springer-v D I Verlag Gmbh, 2014-03)
The Equitable Coloring Problem is a variant of the Graph Coloring Problem where the sizes of two arbitrary color classes differ in at most one unit. This additional condition, called equity constraints, arises naturally ...
A family of heuristic search algorithms for feature model optimization
(Elsevier Science, 2019-03)
Feature models are a well-known formalism for capturing variability, commonalities and configuration rules of software systems. These models are a compact representation of the set of products in a software product line ...
Heuristic method for photo-detectors localization over continuous crystal scintillation cameras
(Universidad Nacional de La Plata. Facultad de Informática, 2018-04-25)
The construction process of large scintillation cameras with continuous crystals is a complex problem affected by multiple variables, from the physical construction of the scintillation crystal to the dispersion in the ...
An urban transportation problem solved by parallel programming with hyper-heuristics
(Taylor & Francis Ltd, 2019-01-18)
An innovative optimization strategy by means of hyper-heuristics is proposed. It consists of a parallel combination of three metaheuristics. In view of the need both to escape from local optima and to achieve high diversity, ...
A heuristic approach to output-only system identification under transient excitation
(Pergamon-Elsevier Science Ltd, 2017-02)
Output-only system identification is a very attractive technique for its implementation simplicity. However, it requires long records to validate the white-noise assumption of the excitation, mainly under transient forced ...