Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
To review the present scenario of the research on the scheduling and control of the
production process in the manufacturing industry, this comprehensive article has extensively …
production process in the manufacturing industry, this comprehensive article has extensively …
BGM-BLA: a new algorithm for dynamic migration of virtual machines in cloud computing
Cloud computing is getting more prevalent and finding a way to reduce the cost of cloud
computing platform through the migration of virtual machines (VM) is a concerned issue. In …
computing platform through the migration of virtual machines (VM) is a concerned issue. In …
A hybrid multi-objective immune algorithm for a flow shop scheduling problem with bi-objectives: weighted mean completion time and weighted mean tardiness
This paper investigates a novel multi-objective model for a no-wait flow shop scheduling
problem that minimizes both the weighted mean completion time (C¯ w) and weighted mean …
problem that minimizes both the weighted mean completion time (C¯ w) and weighted mean …
[PDF][PDF] List of references on evolutionary multiobjective optimization
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Multiobjective optimization and artificial immune systems: a review
This chapter aims to review the state of the art in algorithms of multiobjective optimization
with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune …
with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune …
[HTML][HTML] A Novel Pareto-Optimal Algorithm for Flow Shop Scheduling Problem
Minimizing job waiting time for completing related operations is a critical objective in
industries such as chemical and food production, where efficient planning and production …
industries such as chemical and food production, where efficient planning and production …
A novel multi-objective particle swarm optimization algorithm for no-wait flow shop scheduling problems
The current paper presents a novel multi-objective particle swarm optimization (MOPSO)
algorithm for solving no-wait flow shop scheduling problems with makespan and maximum …
algorithm for solving no-wait flow shop scheduling problems with makespan and maximum …
Evolutionary multiobjective optimization for the multi-machine flow shop scheduling problem under blocking
N Nouri, T Ladhari - Annals of Operations Research, 2018 - Springer
Recently, the flow shop scheduling problem under blocking has gained broad attention in
academic fields. Various papers have been devoted to investigate this issue and have been …
academic fields. Various papers have been devoted to investigate this issue and have been …
An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems
Generally, in handling traditional scheduling problems, ideal manufacturing system
environments are assumed before determining effective scheduling. Unfortunately,“ideal …
environments are assumed before determining effective scheduling. Unfortunately,“ideal …
5. Optimizing a multi-objectives flow shop scheduling problem by a novel genetic algorithm
Flow-shop problems, as a typical manufacturing challenge, have become an interesting
area of research. The primary concern is that the solution space is huge and, therefore, the …
area of research. The primary concern is that the solution space is huge and, therefore, the …