Implementing Artificial Bee Colony Algorithm to Solve Business Problems

Artificial Bee Colony Algorithm (ABC) is an optimization algorithm based on the intelligent foraging behavior of a honey bee swarm. We'll be looking at the ABC algorithm in detail through its purpose, implementation, and functionality. We will then solve a few problems optimizing benchmark functions such as Sphere, Himmelblau, and the Cross-In-Tray function shown below. We will also look at the application of the ABC Algorithm to real-world business problems. Full, reusable code for the implementation is available on Github. At AAXIS Digital, we routinely encounter intractable business optimization problems that require out-of-the-box thinking. To model these business problems to be solved computationally, we need to model it as a list of decision variables representing a candidate solution and be able to compute a "measure of goodness", called the objective function.