ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics

metaheuristic methods; search patterns; second-order systems; evolutionary methods.

Jesus Edgar Elizondo Nuñez — 2025-06-18

Recently, several new metaheuristic schemes have been introduced in the literature. Although all these approaches consider very different phenomena as metaphors, the search patterns used to explore the search space are very similar. On the other hand, second-order systems are models that exhibit different temporal behaviors depending on the value of their parameters. Such temporal behaviors can be conceived as search patterns with multiple behaviors and simple configurations.

In this article, a set of new search patterns is presented to efficiently explore the search space. These patterns emulate the response of a second-order system. The proposed set of search patterns has been integrated as a complete search strategy, called the Second Order Algorithm (SOA), to obtain the global solution of complex optimization problems.

To analyze the performance of the proposed scheme, it has been compared on a set of representative optimization problems, including multimodal, unimodal, and hybrid benchmark formulations. The numerical results demonstrate that the proposed SOA method exhibits remarkable performance in terms of accuracy and high convergence rates.

Functions, an algorithm, BigQuery, and the absence of frameworks

Pedro Cano — 2025-06-18

In this article, we are going to explain how to solve the following problem: perform a data insertion in a BigQuery table using the Python programming language, when we cannot use frameworks, chatGPT, GitHub Copilot, etc., to obtain a solution.

The solution focuses on developing a series of functions that allow us to validate the data types of the table fields involved in the insertion, order the data to be inserted and give them the required structure according to the data types present. For this, we also show the development of an algorithm focused on performing such processes.

Various Applications of IoT-based Weather Monitoring Systems in the Agricultural Sector for Bangladeshi Farmers.

Md Sofiqul Islam _ — 2025-06-18

Climate change is playing a significant role in agriculture. As an agriculturally efficient country
like Bangladesh, smart farming is needed to effectively help farmers adapt to this climate change. The main
objective of this IOT based project is to increase efficiency, especially in mushroom farming and shrimp
fishing. In both cases, smart farming requires real-time weather information from farmers. This system
enables farmers to monitor temperature, humidity, water level at any moment from anywhere in the world
using their smartphones. This system focuses on local farmers in different districts of Bangladesh, where
they are able to monitor the weather for their decision-making and optimize the concept of real-time
scheduling for specific food crops. Local rice farmers who are using real-time weather monitoring systems
can know the exact moment of their rains, which helps them determine the time to harvest their mature rice.
This approach will open up a new avenue for our local farmers through which they can increase their
capacity through mushroom cultivation and shrimp farming more than before, which will help boost the
economy of a country like Bangladesh a lot.