Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization

J Kim, H Chun, J Baek, S Han - Journal of Energy Storage, 2022 - Elsevier
The electrochemical model parameters of a lithium-ion battery are important indicators of its
state-of-health, and many previous studies have proposed methods for identifying them …

A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem

J Lin, ZJ Wang, X Li - Swarm and evolutionary computation, 2017 - Elsevier
Distributed assembly permutation flow-shop scheduling problem (DAPFSP) is recognized as
an important class of problems in modern supply chains and manufacturing systems. In this …

A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem

ZQ Zhang, B Qian, R Hu, HP Jin, L Wang - Swarm and Evolutionary …, 2021 - Elsevier
The distributed assembly permutation flow-shop scheduling problem (DAPFSP) is a typical
NP-hard combinatorial optimization problem that has wide applications in advanced …

An effective hybrid biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem

J Lin, S Zhang - Computers & Industrial Engineering, 2016 - Elsevier
Distributed assembly permutation flow-shop scheduling problem (DAPFSP) is widely exists
in modern supply chains and manufacturing systems. In this paper, an effective hybrid …

A fuzzy logic-based hybrid estimation of distribution algorithm for distributed permutation flowshop scheduling problems under machine breakdown

K Wang, Y Huang, H Qin - Journal of the Operational Research …, 2016 - Taylor & Francis
As the research interest in distributed scheduling is growing, distributed permutation
flowshop scheduling problems (DPFSPs) have recently attracted an increasing attention …

An iterated local search for the multi-objective permutation flowshop scheduling problem with sequence-dependent setup times

J Xu, CC Wu, Y Yin, WC Lin - Applied Soft Computing, 2017 - Elsevier
Due to its simplicity yet powerful search ability, iterated local search (ILS) has been widely
used to tackle a variety of single-objective combinatorial optimization problems. However …

Solution for flow shop scheduling problems using chaotic hybrid firefly and particle swarm optimization algorithm with improved local search

S Kaya, A Gümüşçü, IB Aydilek, IH Karacizmeli… - Soft Computing, 2021 - Springer
Scheduling is important for the efficient use of resources in the production and service
sectors. Depending on the sector and production environment, scheduling problems can …

A hybrid discrete optimization algorithm based on teaching–probabilistic learning mechanism for no-wait flow shop scheduling

W Shao, D Pi, Z Shao - Knowledge-Based Systems, 2016 - Elsevier
Inspired by the phenomenon of teaching and learning introduced by the teaching-learning
based optimization (TLBO) algorithm, this paper presents a hybrid discrete optimization …

Hybrid estimation of distribution algorithm for solving single row facility layout problem

C Ou-Yang, A Utamima - Computers & Industrial Engineering, 2013 - Elsevier
The layout positioning problem of facilities on a straight line is known as Single Row Facility
Layout Problem (SRFLP). The objective of SRFLP, categorized as NP Complete problem, is …

Fast heuristics for minimizing the makespan in non-permutation flow shops

AJ Benavides, M Ritt - Computers & Operations Research, 2018 - Elsevier
We introduce a new permutation representation for non-permutation schedules, and show
how the acceleration technique of Taillard can be extended to it. We propose three new …