A PSO‐Based Hybrid Metaheuristic for Permutation Flowshop Scheduling Problems
L Zhang, J Wu - The Scientific World Journal, 2014 - Wiley Online Library
This paper investigates the permutation flowshop scheduling problem (PFSP) with the
objectives of minimizing the makespan and the total flowtime and proposes a hybrid …
objectives of minimizing the makespan and the total flowtime and proposes a hybrid …
Agent-based flow-shop modelling in dynamic environment
MM Savino, A Mazza, G Neubert - Production Planning & Control, 2014 - Taylor & Francis
This article studies a multiple-objective flow-shop modelling and scheduling problem by
multi-agent system (MAS) in a production context characterized by diversified, high-volume …
multi-agent system (MAS) in a production context characterized by diversified, high-volume …
[PDF][PDF] Solving the multi objective flow shop scheduling problems using an improved NSGA-II
G Lebbar, I El Abbassi, A El Barkany… - … Journal of Operations …, 2018 - researchgate.net
This paper proposes two improved multiobjective evolutionary algorithms (MOEA) to
minimize makespan and maximum tardiness in the permutation and the blocking flow shop …
minimize makespan and maximum tardiness in the permutation and the blocking flow shop …
[PDF][PDF] Dynamic scheduling of blocking flow-shop based on multi-population ACO algorithm
YQ Zhang, H Zhang - International Journal of Simulation Modelling, 2020 - ijsimm.com
Drawing on the coevolution between populations, this paper proposes a dynamic multi-
population ant colony optimization (ACO) algorithm to solve the blocking flow-shop …
population ant colony optimization (ACO) algorithm to solve the blocking flow-shop …
[PDF][PDF] An investigation and extension of a hyper-heuristic framework
P Rattadilok - Informatica, 2010 - informatica.si
As the complexity of optimisation problems increases methods which guarantee optimal
solutions place excessive demands on computation time and computer resources …
solutions place excessive demands on computation time and computer resources …
Development of Guided Artificial Bee Colony (GABC) Heuristic for Permutation Flowshop Scheduling Problem (PFSP)
NA Sidek, SA Bareduan… - Journal of Advanced …, 2023 - semarakilmu.com.my
The flowshop is the most often used production system in the sector, and several efforts
have been made to improve its efficiency. The NEH (Nawaz, Enscore and Ham) heuristics …
have been made to improve its efficiency. The NEH (Nawaz, Enscore and Ham) heuristics …
Scheduling for multiple type objects using POPStar planner
In this paper, scheduling of robot cells that produce multiple object types in low volumes are
considered. The challenge is to maximize the number of objects produced in a given time …
considered. The challenge is to maximize the number of objects produced in a given time …
Imperialist competitive algorithm for the flowshop problem
GF Minetti, C Salto - XXI Congreso Argentino de Ciencias de la …, 2015 - sedici.unlp.edu.ar
This article presents a new optimization techniques based on Imperialistic Competitive
Algorithm to solve the flowshop scheduling problems, which objective is to minimize the …
Algorithm to solve the flowshop scheduling problems, which objective is to minimize the …
HiCoACR: A reconfiguration decision-making model for reconfigurable security protocol based on hierarchically collaborative ant colony
Z Yi, Y Liao, X Du, X Lu, L Cao - International Journal of …, 2020 - journals.sagepub.com
Reconfigurable security protocols, with dynamic protocol configuration and flexible resource
allocation, have become a state-of-the-art technology to guarantee the security of space …
allocation, have become a state-of-the-art technology to guarantee the security of space …
Solving flow shop problems using a forward-chaining partial-order planner
A Billman - 2016 - diva-portal.org
Planning is the task of putting together a sequence of actions that takes a start state to a goal
state. Since planning is a crucial part of human intelligence it is also a crucial part of artificial …
state. Since planning is a crucial part of human intelligence it is also a crucial part of artificial …