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Ask HN: Which algorithms based on biological ideas do you know?

Ask HN: Which algorithms based on biological ideas do you know?
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Monte Carlo , Neural Networks , Genetic Algorithms , Genetic Programming , Cellular Automata , Swarm Intelligence , Ant Colony Optimization , Particle Swarm , Swarm Optimization ,

"Evolutionary Machine Learning: A Survey" by Akbar Telikani, Amirhessam Tahmassebi et al.

Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently been used to improve the performance of Machine Learning (ML) models and the quality of their results. Evolutionary approaches can be used in all three parts of ML: preprocessing (e.g., feature selection and resampling), learning (e.g., parameter setting, membership functions, and neural network topology), and postprocessing (e.g., rule optimization, decision tree/support vectors pruning, and ensemble learning). This article investigates the role of EC algorithms in solving different ML challenges. We do not provide a comprehensive review of evolutionary ML approaches here; instead, we discuss how EC algorithms can contribute to ML by addressing conventional challenges of the artificial intelligence and ML communities. We look at the con ....

Machine Learning , Evolutionary Computation , Learning Optimization , Swarm Intelligence ,

"A fractional-order chaotic sparrow search algorithm for enhancement of" by Qi Xiong, Xinman Zhang et al.

At present, iris recognition has been widely used as a biometrics-based security enhancement technology. However, in some application scenarios where a long-distance camera is used, due to the limitations of equipment and environment, the collected iris images cannot achieve the ideal image quality for recognition. To solve this problem, we proposed a modified sparrow search algorithm (SSA) called chaotic pareto sparrow search algorithm (CPSSA) in this paper. First, fractional-order chaos is introduced to enhance the diversity of the population of sparrows. Second, we introduce the Pareto distribution to modify the positions of finders and scroungers in the SSA. These can not only ensure global convergence, but also effectively avoid the local optimum issue. Third, based on the traditional contrast limited adaptive histogram equalization (CLAHE) method, CPSSA is used to find the best clipping limit value to limit the contrast. The standard deviation, edge content, and entropy are intro ....

Contrast Limited Adaptive Histogram Equalization Clahe , Ractional Order Chaos , Image Enhancement , Iris Images , Parrow Search Algorithm , Swarm Intelligence ,