Two-sided assembly line balancing to maximize work relatedness and slackness
Computers and Industrial Engineering
Reaction-Diffusion Model of a Honeybee Colony's Foraging Behaviour
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Modeling transportation problems using concepts of swarm intelligence and soft computing
Modeling transportation problems using concepts of swarm intelligence and soft computing
A bee colony optimization algorithm to job shop scheduling
Proceedings of the 38th conference on Winter simulation
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
A mathematical model and a genetic algorithm for two-sided assembly line balancing
Computers and Operations Research
Computers and Operations Research
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines
Computers and Industrial Engineering
Balancing of mixed-model two-sided assembly lines
Computers and Industrial Engineering
Honey bee social foraging algorithms for resource allocation: Theory and application
Engineering Applications of Artificial Intelligence
Using bees to solve a data-mining problem expressed as a max-sat one
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
An artificial bee colony algorithm for the maximally diverse grouping problem
Information Sciences: an International Journal
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Designing and operating two-sided assembly lines are crucial for manufacturing companies which assemble large-sized products such as trucks, buses and industrial refrigerators. This type of assembly line structure has several advantages over one-sided assembly lines such as shortened line length and reduced throughput time. The research area has recently focused on balancing two-sided assembly lines owing to these advantages. However, due to the complex structure of this problem, some practical constraints have been disregarded or have not been fully incorporated. In order to overcome these deficiencies, a fully constrained two-sided assembly line balancing problem is addressed in this research paper. Initially, a mathematical programming model is presented in order to describe the problem formally. Due to the problem complexity, two different swarm intelligence based search algorithms are implemented to solve large-sized instances. Bees algorithm and artificial bee colony algorithm have been applied to the fully constrained two-sided assembly line balancing problem so as to minimize the number of workstations and to obtain a balanced line. An extensive computational study has also been performed and the comparative results have been evaluated.