[HTML][HTML] Assembly line balancing: What happened in the last fifteen years?
Ever since the times of Henry Ford up to today's industry 4.0 era, flow-oriented assembly
processes, where an assembly line conveys the workpieces from workstation to workstation …
processes, where an assembly line conveys the workpieces from workstation to workstation …
A taxonomy of line balancing problems and their solutionapproaches
Line balancing belongs to a class of intensively studied combinatorial optimization problems
known to be NP-hard in general. For several decades, the core problem originally …
known to be NP-hard in general. For several decades, the core problem originally …
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem
İ İlhan - Swarm and Evolutionary Computation, 2021 - Elsevier
The capacitated vehicle routing problem (CVRP) is one of the commonly studied issues
today. It belongs to the class of NP-hard problems and has a high time complexity …
today. It belongs to the class of NP-hard problems and has a high time complexity …
An effective method based on simulated annealing for automatic generation control of power systems
In this study, a novel hybrid Simulated Annealing-Genetic Algorithm (hSA-GA) is proposed.
In the hSA-GA, population-based SA is used and each solution in the population is improved …
In the hSA-GA, population-based SA is used and each solution in the population is improved …
Exploration-exploitation tradeoffs in metaheuristics: Survey and analysis
J Xu, J Zhang - Proceedings of the 33rd Chinese control …, 2014 - ieeexplore.ieee.org
Metaheuristics (MHs) have been established as a family of the most practical approaches to
hard optimization problems. Metaheuristic (MH) algorithm is a high-level problem …
hard optimization problems. Metaheuristic (MH) algorithm is a high-level problem …
Performance analysis and optimum operation of a thermoelectric generator by Taguchi method
WH Chen, SR Huang, YL Lin - Applied Energy, 2015 - Elsevier
The thermoelectric generator (TEG) is a promising device to convert waste heat into
electricity. This work numerically simulates the performance of a TEG system in which a TEG …
electricity. This work numerically simulates the performance of a TEG system in which a TEG …
Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models
Accurate modeling and prediction of suspended sediment load (SSL) in rivers have an
important role in environmental science and design of engineering structures and are vital …
important role in environmental science and design of engineering structures and are vital …
A list-based simulated annealing algorithm with crossover operator for the traveling salesman problem
I Ilhan, G Gökmen - Neural Computing and Applications, 2022 - Springer
The traveling salesman problem (TSP) is one of the most popular combinatorial optimization
problems today. It is a problem that is easy to identify but hard to solve. Therefore, it belongs …
problems today. It is a problem that is easy to identify but hard to solve. Therefore, it belongs …
Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm
The current assembly line balancing studies ignore the preventive maintenance (PM) of
machines in some workstations, implying that the already-known PM information has been …
machines in some workstations, implying that the already-known PM information has been …
Workload smoothing in simple assembly line balancing
M Azizoğlu, S Imat - Computers & Operations Research, 2018 - Elsevier
This paper considers a simple assembly line balancing problem with fixed number of
workstations and prespecified cycle time. Our objective is to minimize the sum of the …
workstations and prespecified cycle time. Our objective is to minimize the sum of the …