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A survey of the advancing use and development of machine learning in smart manufacturing
Abstract Machine learning (ML)(a subset of artificial intelligence that focuses on autonomous
computer knowledge gain) is actively being used across many domains, such as …
computer knowledge gain) is actively being used across many domains, such as …
A survey on applications of the harmony search algorithm
This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
Hybrid genetic algorithms for part type selection and machine loading problems with alternative production plans in flexible manufacturing system
This paper addresses two NP-hard and strongly related problems in production planning of
flexible manufacturing system (FMS), part type selection problem and machine loading …
flexible manufacturing system (FMS), part type selection problem and machine loading …
[PDF][PDF] Optimization of part type selection and machine loading problems in flexible manufacturing system using variable neighborhood search
This paper addresses optimization of the integrated part type selection problem and
machine loading problem that are considered as NP-hard problems in production planning …
machine loading problem that are considered as NP-hard problems in production planning …
A modified binary bat algorithm for machine loading in flexible manufacturing systems: a case study
The machine loading (ML) problem of flexible manufacturing systems (FMS) has been
recognised as one of the most important planning problems in the industry. This study aims …
recognised as one of the most important planning problems in the industry. This study aims …
[PDF][PDF] Meta-hierarchical-heuristic-mathematical-model of loading problems in flexible manufacturing system for development of an intelligent approach
Flexible Manufacturing System in 1960's has evolved with the composition of machines with
different capability and capacity constraints. Installation of flexible manufacturing system can …
different capability and capacity constraints. Installation of flexible manufacturing system can …
[HTML][HTML] A global-best harmony search based gradient descent learning FLANN (GbHS-GDL-FLANN) for data classification
While dealing with real world data for classification using ANNs, it is often difficult to
determine the optimal ANN classification model with fast convergence. Also, it is laborious to …
determine the optimal ANN classification model with fast convergence. Also, it is laborious to …
[PDF][PDF] A hybrid bio-inspired and musical-harmony approach for machine loading optimization in flexible manufacturing system
× ŲÖ Ųŗ Manufacturing industries are facing fierce challenges in handling product
competitiveness, shorter product cycle time and product varieties. The situation demands a …
competitiveness, shorter product cycle time and product varieties. The situation demands a …
Proposição de um modelo de otimização para programação da produção em Sistema Flexível de Manufatura (FMS) com tempos de setup dependentes da sequência …
Este trabalho tem como propósito pesquisar e auxiliar a programação da produção na
indústria eletrônica, importante setor da economia. A pesquisa é desenvolvida em um …
indústria eletrônica, importante setor da economia. A pesquisa é desenvolvida em um …
[PDF][PDF] A case study of machine loading in flexible manufacturing systems: a modified binary bat algorithm for minimizing the system unbalance
The machine loading (ML) problem of flexible manufacturing systems (FMS) has been
recognized as one of the most important planning problems in industry. This study aims to …
recognized as one of the most important planning problems in industry. This study aims to …