Adam Stirtan's Blog

I'm thrilled to announce the launch of ParticleSwarmSharp, a powerful .NET library designed to seamlessly integrate Particle Swarm Optimization (PSO) into your applications. As a passionate developer, I've poured my expertise and enthusiasm into crafting this tool, and I'm excited to share it with the community. ParticleSwarmSharp is more than just another optimization library—it's a comprehensive solution tailored specifically for the .NET ecosystem. Built on .NET 8, it harnesses the latest technologies to deliver exceptional performance, efficiency, and extensibility. What sets ParticleSwarmSharp apart is its support for a wide range of common variations of PSO. Whether you're looking for Global Best PSO, Local Best PSO, Constriction Coefficient PSO, or any other variant, ParticleSwarmSharp has you covered. This versatility empowers developers to tackle diverse optimization challenges with confidence and ease. One of the key strengths of ParticleSwarmSharp lies in

As a software developer who has been on both sides of the interview table numerous times, I've come to realize that hiring the right talent is crucial for the success of any engineering team. Over the years, I've refined my approach to hiring, focusing on three key traits that I believe are essential for any successful software developer: conscientiousness, intelligence, and naivety.   Conscientiousness This trait is perhaps the most important quality I look for in potential hires. Conscientious individuals are diligent, responsible, and committed to delivering high-quality work. They take ownership of their tasks and ensure that they are completed to the best of their ability. In a fast-paced and dynamic industry like software development, having team members who are conscientious can make all the difference in meeting deadlines and delivering successful projects. Intelligence While technical skills are undoubtedly important, I value intelligence beyond just the ability to sol

Artificial Intelligence continues to reshape our world, and within this vast landscape, optimization algorithms play a crucial role in solving complex problems. Particle Swarm Optimization (PSO) stands out as an elegant and efficient algorithm inspired by the collective behavior of social organisms. In this blog post, we embark on a journey to unravel the significance of PSO and showcase its real-world applications through an interactive web application. Take me the demo:  https://adamstirtan.github.io/pso-js/ Source code: https://github.com/adamstirtan/pso-js/ The Essence of Particle Swarm Optimization Particle Swarm Optimization, introduced by Dr. James Kennedy and Dr. Russell Eberhart in 1995, draws inspiration from the coordinated movement of flocks of birds and schools of fish. It belongs to the family of nature-inspired optimization algorithms and has proven its mettle in solving optimization problems across diverse domains. Navigating the Optimization Landscape Our journey delve

In the realm of pathfinding algorithms, the A* algorithm stands out as a versatile and efficient method for finding the shortest path between two points on a grid. This blog post will delve into the inner workings of the A* algorithm, using JavaScript as the language of choice for our implementation. We'll explore the key components of the algorithm and provide snippets of the source code to illustrate its functionality. Demo https://adamstirtan.github.io/astar-js/ Overview of the A* Algorithm A* (pronounced "A star") is a heuristic search algorithm commonly used in various applications, such as robotics, video games, and geographical information systems. It efficiently finds the optimal path from a start point to an end point while considering the cost of movement and avoiding obstacles. The algorithm maintains two sets: the open set and the closed set. The open set contains nodes to be evaluated, while the closed set contains nodes that have already been evaluated. A* u

Picture this: You've just wrapped up a marathon day of coding, bugs, and Zoom meetings that seem to multiply like rabbits. You're finally done, and you close that laptop with a triumphant sigh. But wait, you're not quite done – work's lingering like a virtual ghost, haunting your every move. For software developers and those glued to their screens all day, the struggle to disconnect from work is as real as debugging that cryptic error message. So, welcome to the not-so-technical guide on how to take back your life from the code-monster's clutches – it's time to create some space between your work-life and your home-life. The need for disconnection So, you're a software developer, and your typical day reads like a mix between binary code and a suspense novel. Meetings, code, meetings about code – and suddenly, your 9 to 5 feels more like a 24/7. You close your laptop, but it's like trying to close Pandora's box; work thoughts keep popping up like thos

Are you tired of hearing the words "Dependency Injection" and instantly picturing complex web applications with fancy UIs? Well, my fellow developers, you're in for a treat, because in this article you'll see how to use Dependency Injection in console apps! You might be thinking, "Console apps? Isn't that reserved for simple command-line utilities?" But, hold on. With Dependecy Injection, your humble console app can tap into the same power and flexibility that  ASP.NET  Core developers wield for their web applications. Sounds good, right? Let's dive in and see how we can turn even the most mundane console apps into flexibile and testable applications. In this article, I'll guide you through the process of setting up a basic console app with a  ServiceCollection  that'll make any  ASP.NET  Core developer feel right at home. Installing NuGet packages You'll need to install the Microsoft.Extensions.DependencyInjection package in your console