Discussing the article: "Hybridization of population algorithms. Sequential and parallel structures"

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Here we will dive into the world of hybridization of optimization algorithms by looking at three key types: strategy mixing, sequential and parallel hybridization. We will conduct a series of experiments combining and testing relevant optimization algorithms.

Let's consider three main options for hybridizing optimization algorithms:

1. Mixing algorithm search strategies into one. Each algorithm features its own set of skills and abilities. Mixing their logical structures provides a variety of properties in the common pursuit of success. This is a dance of various styles, where each step complements and enhances the overall movement. An example of such an approach is the Bacterial Foraging Optimization combined with the genetic algorithm discussed in one of the previous articles.

2. Consistent operation of each of the algorithms by dividing iterations into partial work of one and the final work of the other, like passing a baton. Algorithms are like sports teams, each of which specializes in its own stage of the race. Passing the baton between them implies the transfer of knowledge and results, creating a smooth and efficient transition from one stage to the next, like the harmony of a well-coordinated team, leaving the total number of iterations unchanged.

3. The parallel operation of each algorithm with the subsequent combination of unique best results resembles collective creativity, where each algorithm is an artist, putting its unique energy into the common world canvas. At each iteration, the best results are merged. Each stroke complements and expands the understanding of the problem under study, creating a common vision of the optimal solution.

These algorithmic hybridization options provide significant opportunities for creative combinations of different approaches and strategies, leading to new discoveries and improvements in optimization. Just like in the world of art a variety of styles and techniques inspire the creation of unique works, the harmonious combination of different algorithms can lead to optimal results and efficient exploration of complex problems.

Author: Andrey Dik