Amazing Algorithms for Solving Problems in Software

Explore a fascinating array of bio-inspired algorithms for problem-solving in software development in this NDC Oslo 2022 conference talk. Delve into the world of nature-inspired computing, including Firefly Algorithms, Ant Colony Optimization, and other innovative approaches. Learn how these algorithms work, their strengths and weaknesses, and when to apply them effectively. Gain practical knowledge to implement these techniques in your preferred programming language. The talk covers various topics, including the Best Path problem, Bee Colony Optimization, cost reduction strategies, the Mikhailovich Function, and Firefly Optimization. Discover the intricacies of Amoeba-based algorithms, linear regression, error functions, and prediction models. Examine flowcharts, sigmoid functions, and C code implementations for training models and making predictions. Conclude with an overview of bioinspired algorithms, best path algorithms, and valuable resources for further exploration.

Introduction
Favorite physicists and mathematicians
Open source projects
Liquid Victor
GiveCamp
Agenda
Best Path
Bee Colony
Bee Colony Optimization
Reducing Costs
Mikhailovich Function
Firefly Optimization
Difficulties
Amoeba
Flowchart
Amoebas
Linear regression
Error function
Prediction model
Sigmoid function
C Code
Training the Model
Predict Method
Results
Bioinspired algorithms
Best path algorithms
Resources