A comprehensive survey on gravitational search algorithm

E Rashedi, E Rashedi, H Nezamabadi-Pour - Swarm and evolutionary …, 2018 - Elsevier
Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

RE Precup, P Angelov, BSJ Costa… - Computers in …, 2015 - Elsevier
Fault detection, isolation and optimal control have long been applied to industry. These
techniques have proven various successful theoretical results and industrial applications …

An overview of Gravitational Search Algorithm utilization in optimization problems

NM Sabri, M Puteh… - 2013 IEEE 3rd International …, 2013 - ieeexplore.ieee.org
Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …

The distributed assembly permutation flowshop scheduling problem with flexible assembly and batch delivery

S Yang, Z Xu - International Journal of Production Research, 2021 - Taylor & Francis
The scheduling problems of distributed production have received increasing attention in
recent years. To coordinate the scheduling of production and transportation, we propose a …

A hybrid BA-VNS algorithm for coordinated serial-batching scheduling with deteriorating jobs, financial budget, and resource constraint in multiple manufacturers

J Pei, X Liu, W Fan, PM Pardalos, S Lu - Omega, 2019 - Elsevier
We study a coordinated serial-batching scheduling problem that features deteriorating jobs,
financial budget, resource constraints, resource-dependent processing times, setup times …

Examining additive manufacturing in supply chain context through an optimization model

ÖF Yılmaz - Computers & Industrial Engineering, 2020 - Elsevier
This study explores the problem of integrated jobs and vehicles scheduling in a two-stage
supply chain, where parts are processed on additive manufacturing (AM) machines and then …

Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5

T Jamrus, HK Wang, CF Chien - Computers & Industrial Engineering, 2020 - Elsevier
To empower smart production for supply chain management, scheduling coordination and
integration between suppliers, manufacturers, distributors, and customers is becoming …

Multi-layer perceptron neural network utilizing adaptive best-mass gravitational search algorithm to classify sonar dataset

MR Mosavi, M Khishe, MJ Naseri… - Archives of …, 2019 - acoustics.ippt.gov.pl
In this paper, a new Multi-Layer Perceptron Neural Network (MLP NN) classifier is proposed
for classifying sonar targets and non-targets from the acoustic backscattered signals …

Integrated resource management for simultaneous project selection and scheduling

M Shariatmadari, N Nahavandi, SH Zegordi… - Computers & Industrial …, 2017 - Elsevier
Nowadays, resource management is one of the most critical decision making processes in
project-oriented companies. To reach the highest level of profitability, these companies …

A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning

J Ding, M Chen, T Wang, J Zhou, X Fu, K Li - ACM Computing Surveys, 2023 - dl.acm.org
As one of the most complex parts in manufacturing systems, scheduling plays an important
role in the efficient allocation of resources to meet individual customization requirements …