Modeling the JSSP as a Bee Colony
The honey bees' effective foraging strategy can be applied to Job Shop Scheduling Problems.

A feasible solution in a Job Shop Scheduling Problem is a complete schedule of operations specified in the problem. We can think of each solution as a path from the hive to the food source. The figure below illustrates such an analogy


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Background of the JSSP
Why the Bee Colony was Chosen?
Modeling the JSSP as a Bee Colony
Algorithm1
Modifications of Algorithm1
Algorithm2
Modifications of Algorithm2
Profiling
The makespan of the solution is analogous to the profitability of the food source in terms of distance and sweetness of the nectar. Hence, the shorter the makespan, the higher the profitability of the solution path.

We can thus maintain a colony of bees, where each bee will traverse a potential solution path. Once a feasible solution is found, each bee will return to the hive to perform a Waggle Dance. The Waggle Dance will be represented by a list of Elite Solutions, from which other bees can choose to follow another bee's path. Bees with a better makespan will have a higher probability of adding its path to the list of Elite Solutions, promoting a convergence to an optimal solution.

Using the above scheme, the natural honey bee's self organizing foraging strategy can be applied to the Job Shop Scheduling Problem.
Proposed Future Directions
Conclusion
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