A comparative evaluation of heuristic line balancing techniques
Management Science
A survey of exact algorithms for the simple assembly line balancing problem
Management Science
Optimally balancing large assembly lines with `FABLE'
Management Science
A dynamic program with fathoming and dynamic upper bounds for the assembly line balancing problem
Computers and Operations Research
Fast, effective algorithms for simple assembly line balancing problems
Operations Research
Eureka: a hybrid system for assembly line balancing
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A random key based genetic algorithm for the resource constrained project scheduling problem
Computers and Operations Research
Metaheuristic approach to assembly line balancing
WSEAS TRANSACTIONS on SYSTEMS
Optimal balancing of multi-objective assembly lines via metaheuristic approach
EC'09 Proceedings of the 10th WSEAS international conference on evolutionary computing
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
Information Sciences: an International Journal
Non-identical parallel machine scheduling using genetic algorithm
Expert Systems with Applications: An International Journal
Bee colony intelligence in zone constrained two-sided assembly line balancing problem
Expert Systems with Applications: An International Journal
A parallel multi-population biased random-key genetic algorithm for a container loading problem
Computers and Operations Research
Journal of Combinatorial Optimization
Biased random-key genetic algorithms for combinatorial optimization
Journal of Heuristics
BRKGA Algorithm for the Capacitated Arc Routing Problem
Electronic Notes in Theoretical Computer Science (ENTCS)
Beam-ACO applied to assembly line balancing
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Improving the genetic algorithms performance in simple assembly line balancing
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Simple heuristics for the assembly line worker assignment and balancing problem
Journal of Heuristics
A meta-heuristic algorithm for the fuzzy assembly line balancing type-E problem
Computers and Operations Research
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This paper presents a hybrid genetic algorithm for the simple assembly line problem, SALBP-1. The chromosome representation of the problem is based on random keys. The assignment of the operations to the workstations is based on a heuristic priority rule in which the priorities of the operations are defined by the chromosomes. A local search is used to improve the solution. The approach is tested on a set of problems taken from the literature and compared with other approaches. The computation results validate the effectiveness of the algorithm.